adaptdl

Resource-adaptive cluster scheduler for deep learning training.

adaptdl-iwslt

autodist

Simple Distributed Deep Learning on TensorFlow

cmu-10703

codecopy

darts

Differentiable architecture search for convolutional and recurrent networks

deepspeed

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

fairseq

Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

gbml

A collection of Gradient-Based Meta-Learning Algorithms with pytorch

higher

higher is a pytorch library allowing users to obtain higher order gradients over losses spanning training loops rather than individual training steps.

meta-weight-net_code-optimization

A new code framework that uses pytorch to implement meta-learning, and takes Meta-Weight-Net as an example.

micrograd

A tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API

ncf

A pytorch implementation of He et al. "Neural Collaborative Filtering" at WWW'17

pathvqa

powerlevel9k

The most awesome Powerline theme for ZSH around!

pytorch-iwslt

Transformer re-implementation from scratch (PyTorch)

pytorch-meta

A collection of extensions and data-loaders for few-shot learning & meta-learning in PyTorch

sangkeun00.github.io

soft-q-learning-for-text-generation

transformer-pytorch

Transformer implementation in PyTorch.