Stars
🙃 A delightful community-driven (with 2,400+ contributors) framework for managing your zsh configuration. Includes 300+ optional plugins (rails, git, macOS, hub, docker, homebrew, node, php, python…
Everything you need to know to get the job.
📚 List of awesome university courses for learning Computer Science!
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
The most cited deep learning papers
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
Most commonly used git tips and tricks.
machine learning and deep learning tutorials, articles and other resources
OpenAI Baselines: high-quality implementations of reinforcement learning algorithms
Essential Cheat Sheets for deep learning and machine learning researchers https://medium.com/@kailashahirwar/essential-cheat-sheets-for-machine-learning-and-deep-learning-researchers-efb6a8ebd2e5
StyleGAN - Official TensorFlow Implementation
Create badass, fluid and smooth transitions between your website’s pages
this repository accompanies the book "Grokking Deep Learning"
A collection of tutorials and examples for solving and understanding machine learning and pattern classification tasks
Implementations from the free course Deep Reinforcement Learning with Tensorflow and PyTorch
Interactive Tools for Machine Learning, Deep Learning and Math
Repository for example code from The Nature of Code book
DEPRECATED: Open-source software for robot simulation, integrated with OpenAI Gym.
Track emissions from Compute and recommend ways to reduce their impact on the environment.
This is a tutorial we are using for Django Girls workshops
Pure python implementation of SNN
Rap song writing recurrent neural network trained on Kanye West's entire discography
We don't need a lot of libraries. We just need the best ones. | Unofficial recommended first choice.
A simple, minimal wrapper for tensorflow's seq2seq module, for experimenting with datasets rapidly
Algorithm implementations and homework solutions for the Stanford's online courses
Tutorials walking new programmers through the process of building their first website in Python and Django
Code package of the book Generative Design for Processing 3.x