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Name: ai driven fullstack
Type: Organization
Name: ai driven fullstack
Type: Organization
A curated list of research in machine learning system. I also summarize some papers if I think they are really interesting.
π€ Neural networks in JavaScript
Code repository for the O'Reilly publication "Building Machine Learning Pipelines" by Hannes Hapke & Catherine Nelson
Source Code for the book Building Machine Learning Systems with Python
βΎοΈ CML - Continuous Machine Learning | CI/CD for ML
Examples and code for the book "D3 for the Impatient"
Translate darknet to tensorflow. Load trained weights, retrain/fine-tune using tensorflow, export constant graph def to mobile devices
Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
DeepFaceLab is the leading software for creating deepfakes.
Face Depixelizer based on "PULSE: Self-Supervised Photo Upsampling via Latent Space Exploration of Generative Models" repository.
Face Image Motion Model (Photo-2-Video) based on "first-order-model" repository.
TensorFlow CNN for fast style transfer β‘π₯π¨πΌ
Collection of notebooks about quantitative finance, with interactive python code.
GPT-3: Language Models are Few-Shot Learners
Hands-On Deep Learning with Apache Spark, Published by Packt
Hands-On Python Deep Learning for Web by Anubhav Singh and Sayak Paul
Run Keras models in the browser, with GPU support using WebGL
A booklet on machine learning systems design with exercises
machine learning and deep learning tutorials, articles and other resources
Object detection and instance segmentation toolkit based on PaddlePaddle.
Master the essential skills needed to recognize and solve complex real-world problems with Machine Learning and Deep Learning by leveraging the highly popular Python Machine Learning Eco-system.
A guideline for building practical production-level deep learning systems to be deployed in real world applications.
PULSE: Self-Supervised Photo Upsampling via Latent Space Exploration of Generative Models
Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media
Cool Python features for machine learning that I used to be too afraid to use. Will be updated as I have more time / learn more.
Learn python3 in one picture.
The Udacity open source self-driving car project
subpixel: A subpixel convnet for super resolution with Tensorflow
Pretrained models for TensorFlow.js
A declarative, efficient, and flexible JavaScript library for building user interfaces.
π Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. πππ
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google β€οΈ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.