wutianyiRosun

wutianyiRosun's Stars

• PaddlePaddle/PaddleHub

  Awesome pre-trained models toolkit based on PaddlePaddle. (400+ models including Image, Text, Audio, Video and Cross-Modal with Easy Inference & Serving)

  Language:Python12.6k1841.3k2.1k

• google-deepmind/alphafold

  Open source code for AlphaFold.

  Language:Python12k2268302.1k

• facebookresearch/mae

  PyTorch implementation of MAE https//arxiv.org/abs/2111.06377

  Language:Python6.9k581841.2k

• Lyken17/pytorch-OpCounter

  Count the MACs / FLOPs of your PyTorch model.

  Language:Python4.7k30168517

• open-mmlab/OpenPCDet

  OpenPCDet Toolbox for LiDAR-based 3D Object Detection.

  Language:Python4.4k701.4k1.3k

• FLHonker/Awesome-Knowledge-Distillation

  Awesome Knowledge-Distillation. 分类整理的知识蒸馏paper(2014-2021)。

  2.4k6111334

• lucidrains/alphafold2

  To eventually become an unofficial Pytorch implementation / replication of Alphafold2, as details of the architecture get released

  Language:Python1.5k6648255

• openai/sparse_attention

  Examples of using sparse attention, as in "Generating Long Sequences with Sparse Transformers"

  Language:Python1.5k4610191

• facebookresearch/MaskFormer

  Per-Pixel Classification is Not All You Need for Semantic Segmentation (NeurIPS 2021, spotlight)

  Language:Python1.3k2569146

• BR-IDL/PaddleViT

  :robot: PaddleViT: State-of-the-art Visual Transformer and MLP Models for PaddlePaddle 2.0+

  Language:Python1.2k10109316

• facebookresearch/moco-v3

  PyTorch implementation of MoCo v3 https//arxiv.org/abs/2104.02057

  Language:Python1.2k1834151

• SwinTransformer/Swin-Transformer-Semantic-Segmentation

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

  Language:Python1.1k1290222

• Yangzhangcst/Transformer-in-Computer-Vision

  A paper list of some recent Transformer-based CV works.

  971364120

• hustvl/YOLOS

  [NeurIPS 2021] You Only Look at One Sequence

  Language:Jupyter Notebook8112129118

• PaddlePaddle/PaddleHelix

  Bio-Computing Platform Featuring Large-Scale Representation Learning and Multi-Task Deep Learning “螺旋桨”生物计算工具集

  Language:Python7992582188

• Sense-X/UniFormer

  [ICLR2022] official implementation of UniFormer

  Language:Python79010128110

• facebookresearch/fair_self_supervision_benchmark

  Scaling and Benchmarking Self-Supervised Visual Representation Learning

  Language:Python589231363

• mlpen/Nystromformer

  Language:Python35191841

• hpcaitech/ColossalAI-Examples

  Examples of training models with hybrid parallelism using ColossalAI

  Language:Python3332047102

• wzmsltw/PaintTransformer

  Official PaddlePaddle implementation of Paint Transformer

  Language:Python309101234

• DeMoriarty/TorchPQ

  Approximate nearest neighbor search with product quantization on GPU in pytorch and cuda

  Language:Cuda20461619

• EMI-Group/FaPN

  [ICCV 2021] FaPN: Feature-aligned Pyramid Network for Dense Image Prediction

  Language:C++20361619

• PaddleEdu/paper-reproduction-tutorials

  论文复现技巧与PaddlePaddle优秀复现项目分享

  Language:Python1292019

• kevin-ssy/ViP

  Official implementation of the paper Visual Parser: Representing Part-whole Hierarchies with Transformers

  Language:Python12314710

• wanghao9610/TMANet

  Official implementation of TMANet.

  Language:Python11833123

• wvangansbeke/Revisiting-Contrastive-SSL

  Revisiting Contrastive Methods for Unsupervised Learning of Visual Representations. [NeurIPS 2021]

  Language:Python866211

• fusong-ju/ProFOLD

  A protein 3D structure prediction application

  Language:Python643615

• HarborYuan/PolyphonicFormer

  [ECCV 2022] 🎵PolyphonicFormer: Unified Query Learning for Depth-aware Video Panoptic Segmentation

  Language:Python551454

• bo-miao/MAMP

  [ICME 2022] Self-Supervised Video Object Segmentation by Motion-Aware Mask Propagation.

  Language:Python32156

• VITA-Group/EarlyBERT

  [ACL-IJCNLP 2021] "EarlyBERT: Efficient BERT Training via Early-bird Lottery Tickets" by Xiaohan Chen, Yu Cheng, Shuohang Wang, Zhe Gan, Zhangyang Wang and Jingjing Liu

  Language:Python161022