beopst

EffectivePyTorch

PyTorch tutorials and best practices.

pml2-book

Probabilistic Machine Learning: Advanced Topics

theseus

A library for differentiable nonlinear optimization

deep-rl-class

This repo contains the syllabus of the Hugging Face Deep Reinforcement Learning Course.

Mathematics-for-ML

🧮 A collection of resources to learn mathematics for machine learning

Generlized-OutlierExposure

This repository is the official implementation of the Generalized Outlier Exposure:

DeepSpeed

DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

uncertainty-baselines

High-quality implementations of standard and SOTA methods on a variety of tasks.

robustness_metrics

stats

macOS system monitor in your menu bar

PlotNeuralNet

Latex code for making neural networks diagrams

the-art-of-command-line

Master the command line, in one page

deeplearning-papernotes

Summaries and notes on Deep Learning research papers

solarized

precision color scheme for multiple applications (terminal, vim, etc.) with both dark/light modes

prezto

The configuration framework for Zsh

dotfiles

:house: Personal dotfiles for *NIX systems

tensorpack

A Neural Net Training Interface on TensorFlow, with focus on speed + flexibility

dynet

DyNet: The Dynamic Neural Network Toolkit

Net2Net

Tensorflow and Numpy Implementation of Net2Net (http://arxiv.org/abs/1511.05641)