Antimony5292

covid-chestxray-dataset

We are building an open database of COVID-19 cases with chest X-ray or CT images.

MedImaging-ModelDriftMonitoring

covid-19-open-data

Datasets of daily time-series data related to COVID-19 for over 20,000 distinct locations around the world.

Video-P2P

Video-P2P: Video Editing with Cross-attention Control

Neural_Network_Pruning

Implementations of different neural network pruning techniques

open_lth

A repository in preparation for open-sourcing lottery ticket hypothesis code.

vits

VITS: Conditional Variational Autoencoder with Adversarial Learning for End-to-End Text-to-Speech

iCaRL

BIC

pytorch implementation of Large Scale Incremental Learning

crypko

bolei_awesome_posters

CVPR and NeurIPS poster examples and templates. May we have in-person poster session soon!

FedML

FEDML - The unified and scalable ML library for large-scale distributed training, model serving, and federated learning. FEDML Launch, a cross-cloud scheduler, further enables running any AI jobs on any GPU cloud or on-premise cluster. Built on this library, TensorOpera AI (https://TensorOpera.ai) is your generative AI platform at scale.

CodeXGLUE

CodeXGLUE

spottune

SpotTune: Transfer Learning through Adaptive Fine-tuning

mjai-reviewer

🔍🀄️ Review mahjong game log with mjai-compatible mahjong AI.

pytorch-cnn-finetune

Fine-tune pretrained Convolutional Neural Networks with PyTorch

pytorch-image-models

The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNetV4, MobileNet-V3 & V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more

FreeAdversarialTraining

PyTorch Implementation of Adversarial Training for Free!

TRADES

TRADES (TRadeoff-inspired Adversarial DEfense via Surrogate-loss minimization)

robust_overfitting

Adversarial_Long-Tail

[ CVPR 2021 Oral ] Pytorch implementation for "Adversarial Robustness under Long-Tailed Distribution"

AIF360

A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and algorithms to mitigate bias in datasets and models.

texture-vs-shape

Pre-trained models, data, code & materials from the paper "ImageNet-trained CNNs are biased towards texture; increasing shape bias improves accuracy and robustness" (ICLR 2019 Oral)

clip-as-service

🏄 Scalable embedding, reasoning, ranking for images and sentences with CLIP

ccf-deadlines

⏰ Collaboratively track deadlines of conferences recommended by CCF (Website, Python Cli, Wechat Applet) / If you find it useful, please star this project, thanks~

slidev

Presentation Slides for Developers

one-python-craftsman

来自一位 Pythonista 的编程经验分享，内容涵盖编码技巧、最佳实践与思维模式等方面。

pytorch-book

PyTorch tutorials and fun projects including neural talk, neural style, poem writing, anime generation (《深度学习框架PyTorch：入门与实战》)

ethical-adversaries

⚖️ Code for the paper "Ethical Adversaries: Towards Mitigating Unfairness with Adversarial Machine Learning".

fair-classification

Python code for training fair logistic regression classifiers.