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mrc_competition_dureader

中文机器阅读理解 冠军/亚军代码及预训练的MRC模型

muse

Implementation of Muse: Text-to-Image Generation via Masked Generative Transformers, in Pytorch

nlp_prototype

openselfsup

Self-Supervised Learning Toolbox and Benchmark

ord-data

Official data repository for the Open Reaction Database

ord-schema

Schema for the Open Reaction Database

pdf-cut-white

自动裁剪PDF图表中的白边 / Cut white bound in PDF figures automatically.

phoenixgo

Go AI program which implements the AlphaGo Zero paper

pixart-alpha

Fast Training of Diffusion Transformer for Photorealistic Text-to-Image Synthesis

pose-adv-aug

Code for "Jointly Optimize Data Augmentation and Network Training: Adversarial Data Augmentation in Human Pose Estimation" (CVPR 2018)

roll_caller

A small tool to call the roll randomly.

rq-vae

The official implementation of Autoregressive Image Generation using Residual Quantization (CVPR '22)

singlepathoneshot

sit

Self-supervised vIsion Transformer (SiT)

spark

[ICLR'23 Spotlight🔥] The first successful BERT/MAE-style pretraining on any convolutional network; Pytorch impl. of "Designing BERT for Convolutional Networks: Sparse and Hierarchical Masked Modeling"

sqlite

Unofficial git mirror of SQLite sources (see link for build instructions)

stable-diffusion

A latent text-to-image diffusion model

stable-diffusion-2

SD 2.0, High-Resolution Image Synthesis with Latent Diffusion Models

star-war

Multiplayer game with Java Swing framework, using MVVM design architecture and Dependency-Inversion principle.

stylegan-t

[ICML'23] StyleGAN-T: Unlocking the Power of GANs for Fast Large-Scale Text-to-Image Synthesis

stylegan-xl

[SIGGRAPH'22] StyleGAN-XL: Scaling StyleGAN to Large Diverse Datasets

supcontrast

PyTorch implementation of "Supervised Contrastive Learning" (and SimCLR incidentally)

swin-transformer-semantic-segmentation

This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows" on Semantic Segmentation.

swin_ssl

This is an official implementation for "Self-Supervised Learning with Swin Transformers".

torch_test

uda

Unsupervised Data Augmentation (UDA)

up-detr

[CVPR2021 Oral] UP-DETR: Unsupervised Pre-training for Object Detection with Transformers

viewmaker

visualizers

Some visualization scripts utilizing matplotlib(seaborn), tensorboard, etc.

vqgan

Taming Transformers for High-Resolution Image Synthesis