A topic-centric list of HQ open datasets.

Google Research

Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more

Set up a personal VPN in the cloud

A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)

Torch implementation of neural style algorithm

Flax is a neural network library for JAX that is designed for flexibility.

A Python-embedded modeling language for convex optimization problems.

High-performance TensorFlow library for quantitative finance.

MindSpore is a new open source deep learning training/inference framework that could be used for mobile, edge and cloud scenarios.

PyZMQ: Python bindings for zeromq

Scenic: A Jax Library for Computer Vision Research and Beyond

JAX-based neural network library

Minimalist Jekyll Template, dark and light themes

Efficient, reusable RNNs and LSTMs for torch

Handout for the tutorial "Creating publication-quality figures with matplotlib"

A living collection of deep learning problems

Painlessly create beautiful matplotlib plots.

Automatically exported from code.google.com/p/word2vec

Keras WaveNet implementation

Example implementation of the DeepStack algorithm for no-limit Leduc poker

Standardized data set for machine learning of protein structure

Python Interface to Slurm

a HDF5-based python pickle replacement

Speed up PixelCNN++ image generation by up to a 183 times

Reinforcement learning with unsupervised auxiliary tasks

Recurrent Geometric Networks for end-to-end differentiable learning of protein structure

MiniFold: Deep Learning for Protein Structure Prediction inspired by DeepMind AlphaFold algorithm

This project was moved to: https://github.com/coax-dev/coax