dlab-arp,github

02456-deep-learning-with-pytorch

Exercises and supplementary material for the deep learning course 02456 using PyTorch.

action-recognition_expts

Exploration of different solutions to action recognition in video, using neural networks implemented in PyTorch.

annotated_deep_learning_paper_implementations

🧑‍🏫 50! Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

annotated_research_papers

This repo contains annotated research papers that I found really good and useful

applied-deep-learning

Applied Deep Learning Course

autocnn

This project is the implementation of the "Automatically Designing CNN Architectures Using Genetic Algorithm for Image Classification" paper

awesome-deep-learning-papers

The most cited deep learning papers

awesome-deep-vision

A curated list of deep learning resources for computer vision

awesome-masked-autoencoders

A collection of literature after or concurrent with Masked Autoencoder (MAE) (Kaiming He el al.).

awesome-nerf

A curated list of awesome neural radiance fields papers

awesome-neuroscience

A curated list of awesome neuroscience libraries, software and any content related to the domain.

awesome-random-forest

Random Forest - a curated list of resources regarding random forest

awesome-rnn

Recurrent Neural Network - A curated list of resources dedicated to RNN

awesome-transformer-attention

An ultimately comprehensive paper list of Vision Transformer/Attention, including papers, codes, and related websites

best_ai_papers_2022

A curated list of the latest breakthroughs in AI (in 2022) by release date with a clear video explanation, link to a more in-depth article, and code.

brainsimii

Neural Simulator for AGI research and development

citris

Code repository of the paper "CITRIS: Causal Identifiability from Temporal Intervened Sequences" and "iCITRIS: Causal Representation Learning for Instantaneous Temporal Effects"

conv_arithmetic

A technical report on convolution arithmetic in the context of deep learning

course-v3

The 3rd edition of course.fast.ai

data-science-books

Complete end to end Datascience Books for various Application

detr

End-to-End Object Detection with Transformers

dissecting-reinforcement-learning

Python code, PDFs and resources for the series of posts on Reinforcement Learning which I published on my personal blog

excel2latexviapython

Python code to create formatted LaTeX tables from a Microsoft Excel file.

github-slideshow

A robot powered training repository :robot:

gopher

Toolset for training quantitative sequence to function models.

hrnet-keras-semantic-segmentation

keras-HRNet

hyperopt-keras-cnn-cifar-100

Auto-optimizing a neural net (and its architecture) on the CIFAR-100 dataset. Could be easily transferred to another dataset or another classification task. Monitoring with TensorBoard. Other visualizations available.

image-segmentation-keras

Implementation of Segnet, FCN, UNet , PSPNet and other models in Keras.

iyerb.github.io

Website for @lovebc http://bradlove.org

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