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a3c

acpd

asydspgplus

baidu-allreduce

baselines-rudder

RUDDER for ATARI games with delayed rewards in OpenAI Baselines package

chatroom-application

cmc

pytorch implementation of "Contrastive Multiview Coding", "Momentum Contrast for Unsupervised Visual Representation Learning", and "Unsupervised Feature Learning via Non-Parametric Instance-level Discrimination"

cond-shift-neurons

Implementation of Conditionally Shifted Neurons by Munkhdalai et al. (https://arxiv.org/pdf/1712.09926.pdf)

cycada_release

Code to accompany ICML 2018 paper

cyclades

Cyclades

dataset-distillation

Dataset Distillation

dcgan

PyTorch implementation of DCGAN

ddg

A PyTorch implementation of the paper "Decoupled Parallel Backpropagation with Convergence Guarantee"

ddpg

Tensorflow implementation of Deep Deterministic Policy Gradients

detectron.pytorch

A pytorch implementation of Detectron. Both training from scratch and inferring directly from pretrained Detectron weights are available.

difacto_dmlc

Distributed FM and LR based on PS with Ftrl

dmc

Optimal discrete matrix completion

dqn-tensorflow

Tensorflow implementation of Human-Level Control through Deep Reinforcement Learning

drl

A collection of Deep Reinforcement Learning algorithms implemented in tensorflow. Very extensible. High performing DQN implementation.

examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

faceswap-gan

A denoising autoencoder + adversarial losses and attention mechanisms for face swapping.

fairseq-py

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

fastgcn

The sample codes for our ICLR18 paper "FastGCN: Fast Learning with Graph Convolutional Networks via Importance Sampling""

fate

An Open Source Secure Computing Framework to support the Federated AI ecosystem

featuresreplay

A PyTorch implementation of the paper "Training Neural Networks Using Features Replay"

fff

try

hogwildpp

HogWild++: A New Mechanism for Decentralized Asynchronous Stochastic Gradient Descent

keras-rl

Deep Reinforcement Learning for Keras.

language-models

Keras implementations of three language models: character-level RNN, word-level RNN and Sentence VAE (Bowman, Vilnis et al 2016).

largebatch