- All languages
- ActionScript
- Arduino
- Assembly
- Batchfile
- C
- C#
- C++
- CSS
- Clojure
- CoffeeScript
- Common Lisp
- Common Workflow Language
- Cuda
- Cython
- Dart
- Dockerfile
- Elm
- Emacs Lisp
- Go
- Groovy
- HTML
- Haskell
- Haxe
- Java
- JavaScript
- Julia
- Jupyter Notebook
- Kotlin
- Less
- LiveScript
- Lua
- MATLAB
- MDX
- Makefile
- Mathematica
- Max
- Nix
- Nunjucks
- OCaml
- Objective-C
- Objective-C++
- OpenSCAD
- PHP
- PLpgSQL
- Perl
- Python
- R
- ReScript
- Reason
- Rich Text Format
- Ruby
- Rust
- SCSS
- SQLPL
- Scala
- Shell
- Shen
- Starlark
- Stylus
- SuperCollider
- Swift
- TSQL
- TeX
- TypeScript
- Vim Script
- WebAssembly
Starred repositories
Python Data Science Handbook: full text in Jupyter Notebooks
A game theoretic approach to explain the output of any machine learning model.
The fastai book, published as Jupyter Notebooks
Python programs, usually short, of considerable difficulty, to perfect particular skills.
A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)
Audiocraft is a library for audio processing and generation with deep learning. It features the state-of-the-art EnCodec audio compressor / tokenizer, along with MusicGen, a simple and controllable…
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
Data and code behind the articles and graphics at FiveThirtyEight
FinRL®: Financial Reinforcement Learning. 🔥
Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.
Automatic extraction of relevant features from time series:
Recipes for using Python's pandas library
A course in reinforcement learning in the wild
Portfolio and risk analytics in Python
A scikit-learn compatible neural network library that wraps PyTorch
Data Science Using Python
Repo for the Deep Reinforcement Learning Nanodegree program
A comprehensive machine learning repository containing 30+ notebooks on different concepts, algorithms and techniques.
Learn Deep Reinforcement Learning in 60 days! Lectures & Code in Python. Reinforcement Learning + Deep Learning
Go to https://github.com/pytorch/tutorials - this repo is deprecated and no longer maintained
Fault-tolerant, highly scalable GPU orchestration, and a machine learning framework designed for training models with billions to trillions of parameters
Beaker Extensions for Jupyter Notebook
A library for debugging/inspecting machine learning classifiers and explaining their predictions
An interactive book on deep learning. Much easy, so MXNet. Wow. [Straight Dope is growing up] ---> Much of this content has been incorporated into the new Dive into Deep Learning Book available at …
InferSent sentence embeddings
A set of Deep Reinforcement Learning Agents implemented in Tensorflow.
Demo of running NNs across different frameworks