AutoGen |
Framework that enables development of LLM applications using multiple agents that can converse with each other to solve tasks |
microsoft |
|
![Open In Colab](images/colab.svg) |
28.09.2023 |
Actor-Critic |
This tutorial demonstrates how to implement the Actor-Critic method using TensorFlow to train an agent on the Open AI Gym CartPole-V0 environment |
Mark Daoust |
|
![Open In Colab](images/colab.svg) |
27.09.2023 |
Simple audio recognition |
This tutorial will show you how to build a basic speech recognition network that recognizes ten different words |
Google |
|
![Open In Colab](images/colab.svg) |
27.09.2023 |
AnimateDiff |
Practical framework to animate most of the existing personalized text-to-image models once and for all, saving efforts in model-specific tuning |
|
|
![Open In Colab](images/colab.svg) |
27.09.2023 |
YOLOv8 |
State-of-the-art model that builds upon the success of previous YOLO versions and introduces new features and improvements to further boost performance and flexibility |
Glenn Jocher |
|
![Open In Colab](images/colab.svg) |
26.09.2023 |
Feast |
An open source feature store for machine learning |
|
|
![Open In Colab](images/colab.svg) |
21.09.2023 |
Fooocus |
Image generating software |
Lvmin Zhang |
|
![Open In Colab](images/colab.svg) |
13.09.2023 |
YOLOv5 |
You Only Look Once |
Glenn Jocher |
|
![Open In Colab](images/colab.svg) |
10.09.2023 |
YOLOv3 |
You Only Look Once |
Glenn Jocher |
|
![Open In Colab](images/colab.svg) |
10.09.2023 |
Bark |
Transformer-based text-to-audio model |
suno |
|
![Open In Colab](images/colab.svg) |
08.09.2023 |
dm_control |
DeepMind Infrastructure for Physics-Based Simulation |
|
|
![Open In Colab](images/colab.svg) |
07.09.2023 |
MuJoCo |
A general purpose physics engine that aims to facilitate research and development in robotics, biomechanics, graphics and animation, machine learning, and other areas which demand fast and accurate simulation of articulated structures interacting with their environment |
|
|
![Open In Colab](images/colab.svg) |
07.09.2023 |
Ray |
Unified framework for scaling AI and Python applications |
|
|
![Open In Colab](images/colab.svg) |
06.09.2023 |
Federated Learning for Image Classification |
We use the classic MNIST training example to introduce the Federated Learning API layer of TFF, tff.learning - a set of higher-level interfaces that can be used to perform common types of federated learning tasks, such as federated training, against user-supplied models implemented in TensorFlow |
Krzysztof Ostrowski |
|
![Open In Colab](images/colab.svg) |
01.09.2023 |
Transfer learning and fine-tuning |
You will learn how to classify images of cats and dogs by using transfer learning from a pre-trained network |
François Chollet |
|
![Open In Colab](images/colab.svg) |
31.08.2023 |
Neural style transfer |
This tutorial uses deep learning to compose one image in the style of another image |
Billy Lamberta |
|
![Open In Colab](images/colab.svg) |
31.08.2023 |
CycleGAN |
This notebook demonstrates unpaired image to image translation using conditional GAN's |
Billy Lamberta |
|
![Open In Colab](images/colab.svg) |
31.08.2023 |
Pix2Pix |
This notebook demonstrates image to image translation using conditional GAN's |
Billy Lamberta |
|
![Open In Colab](images/colab.svg) |
31.08.2023 |
Image classification |
This tutorial shows how to classify images of flowers |
Billy Lamberta |
|
![Open In Colab](images/colab.svg) |
31.08.2023 |
Home Robot |
Low-level API for controlling various home robots |
Chris Paxton |
|
![Open In Colab](images/colab.svg) |
30.08.2023 |
Stable Diffusion 2 |
New stable diffusion model at 768x768 resolution. Same number of parameters in the U-Net as 1.5, but uses OpenCLIP-ViT/H as the text encoder and is trained from scratch |
|
, , , , , ![arxiv](images/arxiv.svg) , , , , ![git](images/git.svg) , , , ![huggingface](images/huggingface.svg) ![youtube](images/youtube.svg)
|
![Open In Colab](images/colab.svg) |
26.08.2023 |
Brax |
A differentiable physics engine that simulates environments made up of rigid bodies, joints, and actuators |
|
|
![Open In Colab](images/colab.svg) |
25.08.2023 |
ComfyUI |
Powerful and modular stable diffusion GUI and backend |
comfyanonymous |
|
![Open In Colab](images/colab.svg) |
22.08.2023 |
The Autodiff Cookbook |
You'll go through a whole bunch of neat autodiff ideas that you can cherry pick for your own work, starting with the basics |
|
|
![Open In Colab](images/colab.svg) |
18.08.2023 |
Composer |
PyTorch library that enables you to train neural networks faster, at lower cost, and to higher accuracy |
The Mosaic ML Team |
|
![Open In Colab](images/colab.svg) |
16.08.2023 |
Integrated gradients |
This tutorial demonstrates how to implement Integrated Gradients, an Explainable AI technique |
Google |
|
![Open In Colab](images/colab.svg) |
16.08.2023 |
Gorilla |
Finetuned LLaMA-based model that surpasses the performance of GPT-4 on writing API calls |
|
|
![Open In Colab](images/colab.svg) |
16.08.2023 |
High-performance simulations with TFF |
This tutorial will describe how to setup high-performance simulations with TFF in a variety of common scenarios |
Krzysztof Ostrowski |
|
![Open In Colab](images/colab.svg) |
15.08.2023 |
Building Your Own Federated Learning Algorithm |
We discuss how to implement federated learning algorithms without deferring to the tff.learning API |
Zachary Charles |
|
![Open In Colab](images/colab.svg) |
14.08.2023 |
Federated Learning for Text Generation |
We start with a RNN that generates ASCII characters, and refine it via federated learning |
Krzysztof Ostrowski |
|
![Open In Colab](images/colab.svg) |
14.08.2023 |
Custom Federated Algorithms, Part 1: Introduction to the Federated Core |
This tutorial is the first part of a two-part series that demonstrates how to implement custom types of federated algorithms in TensorFlow Federated using the Federated Core - a set of lower-level interfaces that serve as a foundation upon which we have implemented the Federated Learning layer |
Krzysztof Ostrowski |
|
![Open In Colab](images/colab.svg) |
14.08.2023 |
Custom Federated Algorithms, Part 2: Implementing Federated Averaging |
This tutorial is the second part of a two-part series that demonstrates how to implement custom types of federated algorithms in TFF using the Federated Core, which serves as a foundation for the Federated Learning layer |
Krzysztof Ostrowski |
|
![Open In Colab](images/colab.svg) |
14.08.2023 |
TFF for Federated Learning Research: Model and Update Compression |
We use the EMNIST dataset to demonstrate how to enable lossy compression algorithms to reduce communication cost in the Federated Averaging algorithm |
Weikang Song |
|
![Open In Colab](images/colab.svg) |
14.08.2023 |
Autoencoders |
This tutorial introduces autoencoders with three examples: the basics, image denoising, and anomaly detection |
Google |
|
![Open In Colab](images/colab.svg) |
14.08.2023 |
Deforum Stable Diffusion |
Open source project is designed to be free to use and easy to modify for custom needs and pipelines |
|
|
![Open In Colab](images/colab.svg) |
13.08.2023 |
xFormers |
Toolbox to Accelerate Research on Transformers |
|
|
![Open In Colab](images/colab.svg) |
11.08.2023 |
Deep RL Course |
The Hugging Face Deep Reinforcement Learning Course |
|
|
![Open In Colab](images/colab.svg) |
08.08.2023 |
Classify text with BERT |
This tutorial contains complete code to fine-tune BERT to perform sentiment analysis on a dataset of plain-text IMDB movie reviews |
Google |
|
![Open In Colab](images/colab.svg) |
08.08.2023 |
SoftVC VITS |
Singing Voice Conversion |
svc develop team |
|
![Open In Colab](images/colab.svg) |
31.07.2023 |
Image captioning |
Given an image our goal is to generate a caption |
Billy Lamberta |
|
![Open In Colab](images/colab.svg) |
25.07.2023 |
Word2Vec |
Word2Vec is not a singular algorithm, rather, it is a family of model architectures and optimizations that can be used to learn word embeddings from large datasets |
Google |
|
![Open In Colab](images/colab.svg) |
25.07.2023 |
Word embeddings |
This tutorial contains an introduction to word embeddings |
Billy Lamberta |
|
![Open In Colab](images/colab.svg) |
25.07.2023 |
Tortoise |
A multi-voice TTS system trained with an emphasis on quality |
James Betker |
|
![Open In Colab](images/colab.svg) |
15.07.2023 |
TRL |
Set of tools to train transformer language models with Reinforcement Learning, from the Supervised Fine-tuning step, Reward Modeling step to the Proximal Policy Optimization step |
|
|
![Open In Colab](images/colab.svg) |
14.07.2023 |
Petals |
Run 100B+ language models at home, BitTorrent-style |
BigScience |
|
![Open In Colab](images/colab.svg) |
05.07.2023 |
PEFT |
Parameter-Efficient Fine-Tuning methods enable efficient adaptation of pre-trained language models to various downstream applications without fine-tuning all the model's parameters |
|
|
![Open In Colab](images/colab.svg) |
28.06.2023 |
Epistemic Neural Networks |
A library for neural networks that know what they don't know |
|
|
![Open In Colab](images/colab.svg) |
26.06.2023 |
DeepFloyd IF |
State-of-the-art open-source text-to-image model with a high degree of photorealism and language understanding |
|
|
![Open In Colab](images/colab.svg) |
26.06.2023 |
normflows |
PyTorch implementation of discrete normalizing flows |
|
|
![Open In Colab](images/colab.svg) |
26.06.2023 |
MyoSuite |
A collection of musculoskeletal environments and tasks simulated with the MuJoCo physics engine and wrapped in the OpenAI gym API to enable the application of Machine Learning to bio-mechanic control problems |
|
|
![Open In Colab](images/colab.svg) |
16.06.2023 |
Audiocraft |
PyTorch library for deep learning research on audio generation |
|
|
![Open In Colab](images/colab.svg) |
11.06.2023 |
Nerfstudio |
API that allows for a simplified end-to-end process of creating, training, and testing NeRFs |
|
|
![Open In Colab](images/colab.svg) |
05.06.2023 |
Transformer |
This tutorial trains a Transformer model to translate Portuguese to English |
Billy Lamberta |
|
![Open In Colab](images/colab.svg) |
02.06.2023 |
Detectron2 |
FAIR's next-generation platform for object detection and segmentation |
Yuxin Wu |
|
![Open In Colab](images/colab.svg) |
26.05.2023 |
Anomalib |
Deep learning library that aims to collect state-of-the-art anomaly detection algorithms for benchmarking on both public and private datasets |
|
|
![Open In Colab](images/colab.svg) |
24.05.2023 |
MMAction2 |
An open-source toolbox for video understanding based on PyTorch |
MMAction2 Contributors |
, , , , , ![arxiv](images/arxiv.svg) - data, data, data, data
![docs](images/docs.svg) , , , , ![git](images/git.svg)
|
![Open In Colab](images/colab.svg) |
15.05.2023 |
ChatRWKV |
Like ChatGPT but powered by RWKV (100% RNN) language model, which is the only RNN that can match transformers in quality and scaling, while being faster and saves VRAM |
|
|
![Open In Colab](images/colab.svg) |
08.05.2023 |
Python Data Science Handbook |
Jupyter notebook version of the Python Data Science Handbook by Jake VanderPlas |
Jake Vanderplas |
|
![Open In Colab](images/colab.svg) |
05.05.2023 |
PGMax |
General factor graphs for discrete probabilistic graphical models, and hardware-accelerated differentiable loopy belief propagation in JAX |
|
|
![Open In Colab](images/colab.svg) |
05.05.2023 |
StableLM |
Stability AI Language Models |
Stability AI |
- blog post
, , , , , ![git](images/git.svg) , , ![huggingface](images/huggingface.svg) , , , ![youtube](images/youtube.svg)
|
![Open In Colab](images/colab.svg) |
27.04.2023 |
TTS |
A library for advanced Text-to-Speech generation, built on the latest research, was designed to achieve the best trade-off among ease-of-training, speed and quality |
|
|
![Open In Colab](images/colab.svg) |
26.04.2023 |
highway-env |
A collection of environments for autonomous driving and tactical decision-making tasks |
Edouard Leurent |
|
![Open In Colab](images/colab.svg) |
22.04.2023 |
OpenCLIP |
An open source implementation of CLIP |
|
, , , , , ![arxiv](images/arxiv.svg) - data, data, data
, , , ![git](images/git.svg) , , , , ![huggingface](images/huggingface.svg)
|
![Open In Colab](images/colab.svg) |
16.04.2023 |
Stable Baselines3 |
Set of reliable implementations of reinforcement learning algorithms in PyTorch |
|
|
![Open In Colab](images/colab.svg) |
14.04.2023 |
RL Baselines3 Zoo |
Training Framework for Stable Baselines3 Reinforcement Learning Agents |
Antonin Raffin |
|
![Open In Colab](images/colab.svg) |
14.04.2023 |
Grounded-SAM |
Marrying Grounding DINO with Segment Anything & Stable Diffusion & Recognize Anything - Automatically Detect, Segment and Generate Anything |
IDEA-Research |
, ![arxiv](images/arxiv.svg) , , , , , , , , , , , , ![git](images/git.svg) , , , ![youtube](images/youtube.svg)
|
![Open In Colab](images/colab.svg) |
12.04.2023 |
SentencePiece |
An unsupervised text tokenizer and detokenizer mainly for Neural Network-based text generation systems where the vocabulary size is predetermined prior to the neural model training |
|
|
![Open In Colab](images/colab.svg) |
08.04.2023 |
TorchGeo |
PyTorch domain library that provides datasets, transforms, samplers, and pre-trained models specific to geospatial data |
|
|
![Open In Colab](images/colab.svg) |
29.03.2023 |
LAVIS |
Python deep learning library for LAnguage-and-VISion intelligence research and applications |
|
|
![Open In Colab](images/colab.svg) |
24.03.2023 |
Hello, many worlds |
This tutorial shows how a classical neural network can learn to correct qubit calibration errors |
Michael Broughton |
|
![Open In Colab](images/colab.svg) |
20.03.2023 |
Image segmentation |
This tutorial focuses on the task of image segmentation, using a modified U-Net |
Billy Lamberta |
|
![Open In Colab](images/colab.svg) |
17.03.2023 |
Tzer |
Coverage-Guided Tensor Compiler Fuzzing with Joint IR-Pass Mutation |
|
|
![Open In Colab](images/colab.svg) |
09.03.2023 |
Haiku |
A library built on top of JAX designed to provide simple, composable abstractions for machine learning research |
|
|
![Open In Colab](images/colab.svg) |
02.03.2023 |
Data augmentation |
This tutorial demonstrates data augmentation: a technique to increase the diversity of your training set by applying random transformations such as image rotation |
Billy Lamberta |
|
![Open In Colab](images/colab.svg) |
02.03.2023 |
SAHI |
A lightweight vision library for performing large scale object detection & instance segmentation |
|
|
![Open In Colab](images/colab.svg) |
23.02.2023 |
AmpliGraph |
A suite of neural machine learning models for relational Learning, a branch of machine learning that deals with supervised learning on knowledge graphs |
|
|
![Open In Colab](images/colab.svg) |
23.02.2023 |
NMT with attention |
This notebook trains a seq2seq model for Spanish to English translation |
Billy Lamberta |
|
![Open In Colab](images/colab.svg) |
15.02.2023 |
GLUE using BERT on TPU |
This tutorial contains complete end-to-end code to train models on a TPU |
Google |
|
![Open In Colab](images/colab.svg) |
15.02.2023 |
Kornia |
Library is composed by a subset of packages containing operators that can be inserted within neural networks to train models to perform image transformations, epipolar geometry, depth estimation, and low-level image processing such as filtering and edge detection that operate directly on tensors |
|
|
![Open In Colab](images/colab.svg) |
11.02.2023 |
High-performance Simulation with Kubernetes |
This tutorial will describe how to set up high-performance simulation using a TFF runtime running on Kubernetes |
Jason Roselander |
|
![Open In Colab](images/colab.svg) |
31.01.2023 |
DALL·E Flow |
An interactive workflow for generating high-definition images from text prompt |
|
|
![Open In Colab](images/colab.svg) |
26.01.2023 |
Diffusers |
Provides pretrained diffusion models across multiple modalities, such as vision and audio, and serves as a modular toolbox for inference and training of diffusion models |
Hugging Face |
, , , , ![arxiv](images/arxiv.svg) , , , ![git](images/git.svg) , , , , ![huggingface](images/huggingface.svg) ![medium](images/medium.svg) ![youtube](images/youtube.svg)
|
![Open In Colab](images/colab.svg) |
17.01.2023 |
Sample Factory |
One of the fastest RL libraries focused on very efficient synchronous and asynchronous implementations of policy gradients |
|
|
![Open In Colab](images/colab.svg) |
17.01.2023 |
Open-Assistant |
Chat-based assistant that understands tasks, can interact with third-party systems, and retrieve information dynamically to do so |
|
|
![Open In Colab](images/colab.svg) |
14.01.2023 |
CleanRL |
Deep Reinforcement Learning library that provides high-quality single-file implementation with research-friendly features |
|
, , , , , , ![arxiv](images/arxiv.svg) ![docs](images/docs.svg) , , , ![git](images/git.svg) ![huggingface](images/huggingface.svg) - paper
, ![youtube](images/youtube.svg)
|
![Open In Colab](images/colab.svg) |
12.01.2023 |
NeMo |
A conversational AI toolkit built for researchers working on automatic speech recognition, natural language processing, and text-to-speech synthesis |
|
|
![Open In Colab](images/colab.svg) |
05.01.2023 |
BANMo |
Given multiple casual videos capturing a deformable object, BANMo reconstructs an animatable 3D model, including an implicit canonical 3D shape, appearance, skinning weights, and time-varying articulations, without pre-defined shape templates or registered cameras |
|
|
![Open In Colab](images/colab.svg) |
30.12.2022 |
TF-Agents |
A reliable, scalable and easy to use TensorFlow library for Contextual Bandits and Reinforcement Learning |
|
|
![Open In Colab](images/colab.svg) |
15.12.2022 |
PyG |
Library built upon PyTorch to easily write and train Graph Neural Networks for a wide range of applications related to structured data |
|
, , , , , , , ![arxiv](images/arxiv.svg) ![docs](images/docs.svg) , , , , , ![git](images/git.svg) , , ![neurips](images/neurips.svg) ![pt](images/pt.svg) , , ![youtube](images/youtube.svg)
|
![Open In Colab](images/colab.svg) |
08.12.2022 |
ruGPT3 |
Example of inference of RuGPT3XL |
Anton Emelyanov |
|
![Open In Colab](images/colab.svg) |
07.12.2022 |
Stable Diffusion Videos |
Create videos with Stable Diffusion by exploring the latent space and morphing between text prompts |
Nathan Raw |
, ![git](images/git.svg)
|
![Open In Colab](images/colab.svg) |
05.12.2022 |
PyTerrier |
A Python framework for performing information retrieval experiments |
|
|
![Open In Colab](images/colab.svg) |
02.11.2022 |
DSP theory |
Theory of digital signal processing: signals, filtration (IIR, FIR, CIC, MAF), transforms (FFT, DFT, Hilbert, Z-transform) etc |
|
|
![Open In Colab](images/colab.svg) |
18.10.2022 |
Mubert |
Prompt-based music generation via Mubert API |
Ilya Belikov |
|
![Open In Colab](images/colab.svg) |
18.10.2022 |
Batch RL |
Offline RL using the DQN replay dataset comprising the entire replay experience of a DQN agent on 60 Atari 2600 games |
|
|
![Open In Colab](images/colab.svg) |
04.10.2022 |
EfficientDet |
New family of object detectors, called EfficientDet, which consistently achieve much better efficiency than prior art across a wide spectrum of resource constraints |
|
|
![Open In Colab](images/colab.svg) |
27.09.2022 |
ACME |
A library of reinforcement learning components and agents |
|
|
![Open In Colab](images/colab.svg) |
26.09.2022 |
RWKV |
Reinventing RNNs for the Transformer Era |
|
, , ![arxiv](images/arxiv.svg) - data
- demo
![discord](images/discord.svg) , , , , , , , , , ![git](images/git.svg) , ![huggingface](images/huggingface.svg) ![reddit](images/reddit.svg) , ![twitter](images/twitter.svg) - website
, , ![youtube](images/youtube.svg)
|
![Open In Colab](images/colab.svg) |
21.09.2022 |
NetKet |
Open-source project delivering cutting-edge methods for the study of many-body quantum systems with artificial neural networks and machine learning techniques |
|
|
![Open In Colab](images/colab.svg) |
15.09.2022 |
pymdp |
Package for simulating Active Inference agents in Markov Decision Process environments |
|
|
![Open In Colab](images/colab.svg) |
24.08.2022 |
Stable Diffusion |
A latent text-to-image diffusion model |
|
, , , ![arxiv](images/arxiv.svg) , , , , , ![git](images/git.svg) , , ![huggingface](images/huggingface.svg)
|
![Open In Colab](images/colab.svg) |
10.08.2022 |
Deep-MAC |
Welcome to the Novel class segmentation demo |
Vighnesh Birodkar |
|
![Open In Colab](images/colab.svg) |
09.08.2022 |
NL-Augmenter |
A collaborative effort intended to add transformations of datasets dealing with natural language |
|
|
![Open In Colab](images/colab.svg) |
06.08.2022 |
Accelerate |
A simple way to train and use PyTorch models with multi-GPU, TPU, mixed-precision |
Hugging Face |
|
![Open In Colab](images/colab.svg) |
27.07.2022 |
YOLOv5 on Custom Objects |
This notebook shows training on your own custom objects |
Jacob Solawetz |
|
![Open In Colab](images/colab.svg) |
20.07.2022 |
MindsEye |
Graphical user interface built to run multimodal ai art models for free from a Google Colab, without needing edit a single line of code or know any programming |
|
|
![Open In Colab](images/colab.svg) |
06.07.2022 |
py-irt |
Fitting Item Response Theory models using variational inference |
|
|
![Open In Colab](images/colab.svg) |
30.06.2022 |
SberSwap |
A new face swap method for image and video domains |
|
|
![Open In Colab](images/colab.svg) |
29.06.2022 |
BIG-bench |
A collaborative benchmark intended to probe large language models and extrapolate their future capabilities |
|
|
![Open In Colab](images/colab.svg) |
27.06.2022 |
HuggingArtists |
Choose your favorite Artist and train a language model to write new lyrics based on their unique voice |
Aleksey Korshuk |
, ![huggingface](images/huggingface.svg)
|
![Open In Colab](images/colab.svg) |
25.06.2022 |
Introduction to the TensorFlow Models NLP library |
You will learn how to build transformer-based models for common NLP tasks including pretraining, span labelling and classification using the building blocks from NLP modeling library |
Chen Chen |
|
![Open In Colab](images/colab.svg) |
22.06.2022 |
Cirq |
A python framework for creating, editing, and invoking Noisy Intermediate Scale Quantum circuits |
|
|
![Open In Colab](images/colab.svg) |
21.06.2022 |
CLIP-as-service |
A low-latency high-scalability service for embedding images and text |
Han Xiao |
|
![Open In Colab](images/colab.svg) |
19.06.2022 |
Jina |
MLOps framework that empowers anyone to build cross-modal and multi-modal applications on the cloud |
Han Xiao |
|
![Open In Colab](images/colab.svg) |
11.06.2022 |
Flashlight |
Fast, flexible machine learning library written entirely in C++ |
|
![arxiv](images/arxiv.svg) ![docker](images/docker.svg) ![docs](images/docs.svg) , , , , , , , , , , ![git](images/git.svg)
|
![Open In Colab](images/colab.svg) |
01.06.2022 |
Evidently |
An open-source framework to evaluate, test and monitor ML models in production |
|
|
![Open In Colab](images/colab.svg) |
30.05.2022 |
RL Unplugged |
Suite of benchmarks for offline reinforcement learning |
|
, , , , , , , , , ![arxiv](images/arxiv.svg) - data
, ![git](images/git.svg) ![youtube](images/youtube.svg)
|
![Open In Colab](images/colab.svg) |
26.05.2022 |
Text generation with RNN |
This tutorial demonstrates how to generate text using a character-based RNN |
Billy Lamberta |
|
![Open In Colab](images/colab.svg) |
02.05.2022 |
CLIPDraw |
Synthesize drawings to match a text prompt |
|
|
![Open In Colab](images/colab.svg) |
28.04.2022 |
deep-significance |
Easy-to-use package containing different significance tests and utility functions specifically tailored towards research needs and usability |
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![Open In Colab](images/colab.svg) |
12.04.2022 |
Text classification with RNN |
This text classification tutorial trains a recurrent neural network on the IMDB large movie review dataset for sentiment analysis |
Billy Lamberta |
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![Open In Colab](images/colab.svg) |
17.03.2022 |
RLDS |
Reinforcement Learning Datasets and it is an ecosystem of tools to store, retrieve and manipulate episodic data in the context of Sequential Decision Making including RL, Learning for Demonstrations, Offline RL or Imitation Learning |
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![arxiv](images/arxiv.svg) - blog post
, , , ![git](images/git.svg) , , , , , , , , , ![tf](images/tf.svg)
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![Open In Colab](images/colab.svg) |
16.03.2022 |
Real-Time Voice Cloning |
SV2TTS with a vocoder that works in real-time |
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![Open In Colab](images/colab.svg) |
07.03.2022 |
BLIP |
VLP framework which transfers flexibly to both vision-language understanding and generation tasks |
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![Open In Colab](images/colab.svg) |
02.03.2022 |
Silero Models |
Pre-trained speech-to-text, text-to-speech and text-enhancement models made embarrassingly simple |
Silero team |
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![Open In Colab](images/colab.svg) |
27.02.2022 |
ArcaneGAN |
Process video in the style of the Arcane animated series |
Alexander Spirin |
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![Open In Colab](images/colab.svg) |
17.02.2022 |
textlesslib |
A library aimed to facilitate research in Textless NLP |
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![Open In Colab](images/colab.svg) |
15.02.2022 |
AV-HuBERT |
Self-supervised representation learning framework for audio-visual speech |
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![Open In Colab](images/colab.svg) |
12.02.2022 |
Lingvo |
Framework for building neural networks in Tensorflow, particularly sequence models |
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![Open In Colab](images/colab.svg) |
28.01.2022 |
RuDOLPH |
A fast and light text-image-text transformer designed for a quick and easy fine-tuning setup for the solution of various tasks: from generating images by text description and image classification to visual question answering and more |
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![Open In Colab](images/colab.svg) |
14.01.2022 |
DeepDream |
This tutorial contains a minimal implementation of DeepDream: an experiment that visualizes the patterns learned by a neural network |
Billy Lamberta |
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![Open In Colab](images/colab.svg) |
13.01.2022 |
MLP |
The most basic neural network architectures, a multilayer perceptron, also known as a feedforward network |
Ben Trevett |
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![Open In Colab](images/colab.svg) |
26.12.2021 |
AlexNet |
A neural network model that uses convolutional neural network layers and was designed for the ImageNet challenge |
Ben Trevett |
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![Open In Colab](images/colab.svg) |
26.12.2021 |
VGG |
Very Deep Convolutional Networks for Large-Scale Image Recognition |
Ben Trevett |
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![Open In Colab](images/colab.svg) |
26.12.2021 |
LeNet |
A neural network model that uses convolutional neural network layers and was designed for classifying handwritten characters |
Ben Trevett |
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![Open In Colab](images/colab.svg) |
26.12.2021 |
FLAML |
Lightweight Python library that finds accurate machine learning models automatically, efficiently and economically |
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![Open In Colab](images/colab.svg) |
17.12.2021 |
CompilerGym |
A reinforcement learning toolkit for compiler optimizations |
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![Open In Colab](images/colab.svg) |
16.11.2021 |
DeepStyle |
The Neural Style algorithm synthesizes a pastiche by separating and combining the content of one image with the style of another image using convolutional neural networks |
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![Open In Colab](images/colab.svg) |
01.10.2021 |
Text2Animation |
Generate images from text phrases with VQGAN and CLIP with animation and keyframes |
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![Open In Colab](images/colab.svg) |
29.09.2021 |
EfficientNetV2 |
A family of image classification models, which achieve better parameter efficiency and faster training speed than prior arts |
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![Open In Colab](images/colab.svg) |
24.09.2021 |
Droidlet |
A modular embodied agent architecture and platform for building embodied agents |
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![Open In Colab](images/colab.svg) |
15.09.2021 |
GPT-J-6B |
A 6 billion parameter, autoregressive text generation model trained on The Pile |
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![Open In Colab](images/colab.svg) |
15.09.2021 |
Sentence Transformers |
Multilingual Sentence, Paragraph, and Image Embeddings using BERT & Co |
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![Open In Colab](images/colab.svg) |
13.09.2021 |
Machine learning course |
This course is broad and shallow, but author will provide additional links so that you can deepen your understanding of the ML method you need |
Тимчишин Віталій |
- blog post
, , , , , , , , , , ![youtube](images/youtube.svg)
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![Open In Colab](images/colab.svg) |
02.09.2021 |
Lucid Sonic Dreams |
Syncs GAN-generated visuals to music |
Mikael Alafriz |
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![Open In Colab](images/colab.svg) |
24.08.2021 |
textgenrnn |
Generate text using a pretrained neural network with a few lines of code, or easily train your own text-generating neural network of any size and complexity |
Max Woolf |
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![Open In Colab](images/colab.svg) |
13.07.2021 |
TensorRT |
SDK for high-performance deep learning inference, includes a deep learning inference optimizer and runtime that delivers low latency and high throughput for inference applications |
nvidia |
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![Open In Colab](images/colab.svg) |
10.06.2021 |
BasicSR |
Open Source Image and Video Restoration Toolbox for Super-resolution, Denoise, Deblurring, etc. |
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![arxiv](images/arxiv.svg) ![docs](images/docs.svg) , , , , , , , , , , , ![git](images/git.svg) ![youtube](images/youtube.svg)
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![Open In Colab](images/colab.svg) |
07.06.2021 |
Hyperopt |
Python library for serial and parallel optimization over awkward search spaces, which may include real-valued, discrete, and conditional dimensions |
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![Open In Colab](images/colab.svg) |
01.06.2021 |
CNN |
This tutorial demonstrates training a simple Convolutional Neural Network to classify CIFAR images |
Billy Lamberta |
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![Open In Colab](images/colab.svg) |
21.05.2021 |
Custom GPT-2 + Tokenizer |
Train a custom GPT-2 model for free on a GPU using aitextgen! |
Max Woolf |
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![Open In Colab](images/colab.svg) |
17.05.2021 |
Train a GPT-2 Text-Generating Model |
Retrain an advanced text generating neural network on any text dataset for free on a GPU using Colaboratory using aitextgen! |
Max Woolf |
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![Open In Colab](images/colab.svg) |
17.05.2021 |
EasyNMT |
Easy to use, state-of-the-art machine translation for more than 100+ languages |
Nils Reimers |
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![Open In Colab](images/colab.svg) |
26.04.2021 |
OCTIS |
Framework for training, analyzing, and comparing Topic Models, whose optimal hyper-parameters are estimated using a Bayesian Optimization approach |
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![Open In Colab](images/colab.svg) |
19.04.2021 |
PyTorchVideo |
Deeplearning library with a focus on video understanding work |
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![Open In Colab](images/colab.svg) |
13.04.2021 |
GPT Neo |
An implementation of model & data parallel GPT2 & GPT3 -like models, with the ability to scale up to full GPT3 sizes (and possibly more!), using the mesh-tensorflow library |
EleutherAI |
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![Open In Colab](images/colab.svg) |
28.03.2021 |
CVAE |
This notebook demonstrates how train a Variational Autoencoder on the MNIST dataset |
Billy Lamberta |
, ![arxiv](images/arxiv.svg)
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![Open In Colab](images/colab.svg) |
22.03.2021 |
DCGAN |
This tutorial demonstrates how to generate images of handwritten digits using a Deep Convolutional Generative Adversarial Network |
Billy Lamberta |
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![Open In Colab](images/colab.svg) |
12.03.2021 |
Adversarial FGSM |
This tutorial creates an adversarial example using the Fast Gradient Signed Method attack. This was one of the first and most popular attacks to fool a neural network. |
Billy Lamberta |
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![Open In Colab](images/colab.svg) |
12.03.2021 |
GAN steerability |
We will navigate in GAN latent space to simulate various camera transformations |
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![Open In Colab](images/colab.svg) |
04.03.2021 |
Trax |
End-to-end library for deep learning that focuses on clear code and speed |
Google |
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![Open In Colab](images/colab.svg) |
17.02.2021 |
bsuite |
A collection of carefully-designed experiments that investigate core capabilities of an RL agent with two main objectives |
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![Open In Colab](images/colab.svg) |
13.02.2021 |
TF-Ranking |
End-to-end walkthrough of training a TensorFlow Ranking neural network model which incorporates sparse textual features |
Rama Kumar |
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![Open In Colab](images/colab.svg) |
04.02.2021 |
Toon-Me |
A fun project to toon portrait images |
Vijish Madhavan |
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![Open In Colab](images/colab.svg) |
22.01.2021 |
TensorNetwork |
A library for easy and efficient manipulation of tensor networks |
Chase Roberts |
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![Open In Colab](images/colab.svg) |
21.01.2021 |
Spleeter |
Deezer source separation library including pretrained models |
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![Open In Colab](images/colab.svg) |
10.01.2021 |
Person Remover |
Project that combines Pix2Pix and YOLO arhitectures in order to remove people or other objects from photos |
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![Open In Colab](images/colab.svg) |
22.08.2020 |
Semantic Segmentation |
Pytorch implementation for Semantic Segmentation/Scene Parsing on MIT ADE20K dataset |
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![Open In Colab](images/colab.svg) |
21.08.2020 |
Gin Config |
Lightweight configuration framework for Python, based on dependency injection |
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![Open In Colab](images/colab.svg) |
13.08.2020 |
CoVoST |
A Large-Scale Multilingual Speech-To-Text Translation Corpus |
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![Open In Colab](images/colab.svg) |
07.08.2020 |
Dopamine |
Research framework for fast prototyping of reinforcement learning algorithms |
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![Open In Colab](images/colab.svg) |
03.08.2020 |
Analyzing Tennis Serve |
We'll use the Video Intelligence API to analyze a tennis serve, including the angle of the arms and legs during the serve |
Dale Markowitz |
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![Open In Colab](images/colab.svg) |
14.07.2020 |
Eager Few Shot Object Detection |
Fine tuning of a RetinaNet architecture on very few examples of a novel class after initializing from a pre-trained COCO checkpoint |
kmindspark |
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![Open In Colab](images/colab.svg) |
11.07.2020 |
Optuna |
An automatic hyperparameter optimization software framework, particularly designed for machine learning |
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![Open In Colab](images/colab.svg) |
08.07.2020 |
YOLOv4 |
This tutorial will help you build YOLOv4 easily in the cloud with GPU enabled so that you can run object detections in milliseconds! |
Alexey Bochkovskiy |
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![Open In Colab](images/colab.svg) |
25.06.2020 |
Context R-CNN Demo |
This notebook will walk you step by step through the process of using a pre-trained model to build up a contextual memory bank for a set of images, and then detect objects in those images+context using Context R-CNN |
pkulzc |
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![Open In Colab](images/colab.svg) |
17.06.2020 |
TensorFlow Graphics |
Differentiable computer graphics in tensorflow |
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![Open In Colab](images/colab.svg) |
20.05.2020 |
Background Matting |
The notebook is split into three parts: required setup, running the algorithm on photos, and running it on videos |
Andrey Ryabtsev |
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![Open In Colab](images/colab.svg) |
18.05.2020 |
GAN Dissection |
Visualizing and Understanding Generative Adversarial Networks |
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![Open In Colab](images/colab.svg) |
04.05.2020 |
Sonnet |
Library built on top of TensorFlow 2 designed to provide simple, composable abstractions for machine learning research |
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![Open In Colab](images/colab.svg) |
17.04.2020 |
Classification of chest vs. adominal X-rays |
The goal of this tutorial is to build a deep learning classifier to accurately differentiate between chest and abdominal X-rays |
tmoneyx01 |
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![Open In Colab](images/colab.svg) |
07.03.2020 |
Lung X-Rays Semantic Segmentation |
This lesson applies a U-Net for Semantic Segmentation of the lung fields on chest x-rays |
tmoneyx01 |
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![Open In Colab](images/colab.svg) |
07.03.2020 |
Earth Engine Python API and Folium Interactive Mapping |
This notebook demonstrates how to setup the Earth Engine and provides several examples for visualizing Earth Engine processed data interactively using the folium library |
Qiusheng Wu |
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![Open In Colab](images/colab.svg) |
20.01.2020 |
Train a GPT-2 Model on Tweets |
Train the model on your downloaded tweets, and generate massive amounts of Tweets from it |
Max Woolf |
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![Open In Colab](images/colab.svg) |
16.01.2020 |
Tensor2Tensor |
Library for deep learning models that is well-suited for neural machine translation and includes the reference implementation of the state-of-the-art Transformer model |
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![Open In Colab](images/colab.svg) |
14.01.2020 |
Traffic counting |
Making Road Traffic Counting App based on Computer Vision and OpenCV |
Andrey Nikishaev |
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![Open In Colab](images/colab.svg) |
10.01.2020 |
Imagededup |
This package provides functionality to make use of hashing algorithms that are particularly good at finding exact duplicates as well as convolutional neural networks which are also adept at finding near duplicates |
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![Open In Colab](images/colab.svg) |
03.10.2019 |
automl-gs on a TPU |
Give an input CSV file and a target field you want to predict to automl-gs, and get a trained high-performing machine learning or deep learning model plus native Python code pipelines allowing you to integrate that model into any prediction workflow |
Max Woolf |
![](https://camo.githubusercontent.com/556d7f15c02e6ff28e806b4e97f85a43415c3927eddb33460dc10f2ecef8eead/68747470733a2f2f696d672e736869656c64732e696f2f6769746875622f73746172732f6d696e696d617869722f6175746f6d6c2d67733f7374796c653d736f6369616c) |
![Open In Colab](images/colab.svg) |
26.03.2019 |
RSNA Pneumonia Detection Challenge (Kaggel API) |
The basics of parsing the competition dataset, training using a detector basd on the Mask-RCNN algorithm for object detection and instance segmentation |
tmoneyx01 |
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![Open In Colab](images/colab.svg) |
03.09.2018 |
RSNA Pneumonia Detection Challenge (MD.ai API) |
The basics of parsing the competition dataset, training using a detector basd on the Mask-RCNN algorithm for object detection and instance segmentation |
tmoneyx01 |
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![Open In Colab](images/colab.svg) |
29.08.2018 |
HoF |
This notebook will walk you step by step through the process of using a pre-trained model to detect faces in an image |
Lucas Persona |
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![Open In Colab](images/colab.svg) |
15.03.2018 |