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area-under-the-margin-ranking

Implementation of the paper Identifying Mislabeled Data using the Area Under the Margin Ranking: https://arxiv.org/pdf/2001.10528v2.pdf

continuous_evaluation

gym

This fork adds multi-agent social dilemma environments in Gym: CoinGame, (Iterated) Prisonner Dilemma, Stag Hunt, Chicken, Matching Pennies. Gym: A toolkit for developing and comparing reinforcement learning algorithms.

lola

Code release for Learning with Opponent-Learning Awareness and variations.

lola_dice

Pytorch implementation of LOLA (https://arxiv.org/abs/1709.04326) using DiCE (https://arxiv.org/abs/1802.05098)

meta_evals

Meta evaluating evaluation

neural-compressor

Provide unified APIs for SOTA model compression techniques, such as low precision (INT8/INT4/FP4/NF4) quantization, sparsity, pruning, and knowledge distillation on mainstream AI frameworks such as TensorFlow, PyTorch, and ONNX Runtime.

octaveconv_plugandplay

Plug&Play Pytorch implementation of the paper "Drop an Octave": https://arxiv.org/abs/1904.05049

open_spiel

OpenSpiel is a collection of environments and algorithms for research in general reinforcement learning and search/planning in games.

pytorch-yolov3

Minimal PyTorch implementation of YOLOv3

ray

An open source framework that provides a simple, universal API for building distributed applications. Ray is packaged with RLlib, a scalable reinforcement learning library, and Tune, a scalable hyperparameter tuning library.

selectivebackpropagation

Implementation of the paper: Selective_Backpropagation from paper Accelerating Deep Learning by Focusing on the Biggest Losers

slm-lab

Modular Deep Reinforcement Learning framework in PyTorch.

stochasticdepth_and_octaveconv_plugandplay

A Pytorch Plug&Play implementation of the papers "Deep Networks with Stochastic Depth" and "Drop an Octave"