BIGKnight

trax

Trax — Deep Learning with Clear Code and Speed

tensor2tensor

Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.

transformer

A TensorFlow Implementation of the Transformer: Attention Is All You Need

transformers

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

bert

TensorFlow code and pre-trained models for BERT

gpt-3

GPT-3: Language Models are Few-Shot Learners

swav

PyTorch implementation of SwAV https//arxiv.org/abs/2006.09882

PyContrast

PyTorch implementation of Contrastive Learning methods

VisDA2020

VisDA2020: 4th Visual Domain Adaptation Challenge in ECCV'20

Contrastive-Adaptation-Network-for-Unsupervised-Domain-Adaptation

pytorch implementation for Contrastive Adaptation Network

BNM

code of Towards Discriminability and Diversity: Batch Nuclear-norm Maximization under Label Insufficient Situations (CVPR2020 oral)

JDDA-Master

Joint Domain Alignment and Discriminative Feature Learning for Unsupervised Deep Domain Adaptation（AAAI-2019）

dirt-t

A DIRT-T Approach to Unsupervised Domain Adaptation (ICLR 2018)

CDAN

Code release for "Conditional Adversarial Domain Adaptation" (NIPS 2018)

VIB-pytorch

Pytorch implementation of Deep Variational Information Bottleneck

vae

a simple vae and cvae from keras

variational-autoencoder

Variational autoencoder implemented in tensorflow and pytorch (including inverse autoregressive flow)

invariant-risk-minimization

Implementation of Invariant Risk Minimization https://arxiv.org/abs/1907.02893

mixup

Implementation of the mixup training method

InvariantRiskMinimization

PyTorch code to run synthetic experiments.

Deep_Variational_Information_Bottleneck

Tensorflow implementation of deep variational information bottleneck

BDL

infomax

extract features by maximizing mutual information

DIM

Deep InfoMax (DIM), or "Learning Deep Representations by Mutual Information Estimation and Maximization"

uda_release

Unsupervised Domain Adaptation through Self-Supervision

PointRend-PyTorch

A PyTorch implementation of PointRend: Image Segmentation as Rendering

moco

PyTorch implementation of MoCo: https://arxiv.org/abs/1911.05722

BBN

The official PyTorch implementation of paper BBN: Bilateral-Branch Network with Cumulative Learning for Long-Tailed Visual Recognition

simclr

SimCLRv2 - Big Self-Supervised Models are Strong Semi-Supervised Learners

Switchable-Whitening

Code for Switchable Whitening (ICCV2019)