ty-97

ty-97's Stars

• google-research/google-research

  Google Research

  Language:Jupyter Notebook34k7511.3k7.9k

• kenjihiranabe/The-Art-of-Linear-Algebra

  Graphic notes on Gilbert Strang's "Linear Algebra for Everyone"

  Language:PostScript17.8k147142.2k

• state-spaces/mamba

  Mamba SSM architecture

  Language:Python12.8k1005141.1k

• facebookresearch/SlowFast

  PySlowFast: video understanding codebase from FAIR for reproducing state-of-the-art video models.

  Language:Python6.5k956801.2k

• facebookresearch/ConvNeXt

  Code release for ConvNeXt model

  Language:Python5.7k32130695

• pengsida/learning_research

  本人的科研经验

  5.6k6928337

• PaddlePaddle/PaddleClas

  A treasure chest for visual classification and recognition powered by PaddlePaddle

  Language:Python5.4k771.1k1.2k

• Sophia-11/Machine-Learning-Notes

  周志华《机器学习》手推笔记

  3.5k1344739

• forthespada/CampusShame

  互联网仍有记忆！那些曾经在校招过程中毁过口头offer、意向书、三方的公司！纵然人微言轻，也想尽绵薄之力！

  3.1k3518154

• facebookresearch/fvcore

  Collection of common code that's shared among different research projects in FAIR computer vision team.

  Language:Python2k4079227

• facebookresearch/TimeSformer

  The official pytorch implementation of our paper "Is Space-Time Attention All You Need for Video Understanding?"

  Language:Python1.5k27129210

• keyu-tian/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"

  Language:Python1.4k268383

• atong01/conditional-flow-matching

  TorchCFM: a Conditional Flow Matching library

  Language:Python1.1k155085

• gnobitab/RectifiedFlow

  Official Implementation of Rectified Flow (ICLR2023 Spotlight)

  Language:Python855112252

• greenbellpepper/GreenPepper

  849251119

• NUS-HPC-AI-Lab/Neural-Network-Parameter-Diffusion

  We introduce a novel approach for parameter generation, named neural network parameter diffusion (p-diff), which employs a standard latent diffusion model to synthesize a new set of parameters

  Language:Python828192242

• Sense-X/UniFormer

  [ICLR2022] official implementation of UniFormer

  Language:Python82010132111

• cvdfoundation/kinetics-dataset

  Language:Shell758124196

• Westlake-AI/openmixup

  CAIRI Supervised, Semi- and Self-Supervised Visual Representation Learning Toolbox and Benchmark

  Language:Python618165562

• lucidrains/g-mlp-pytorch

  Implementation of gMLP, an all-MLP replacement for Transformers, in Pytorch

  Language:Python4228856

• MCG-NJU/TDN

  [CVPR 2021] TDN: Temporal Difference Networks for Efficient Action Recognition

  Language:Python370107155

• IBM/action-recognition-pytorch

  This is the pytorch implementation of some representative action recognition approaches including I3D, S3D, TSN and TAM.

  Language:Python243131446

• MTLab/MorphMLP

  Language:Python16611415

• woodfrog/vse_infty

  Code for "Learning the Best Pooling Strategy for Visual Semantic Embedding", CVPR 2021 (Oral)

  Language:Python15641016

• blacksingular/GHRN

  [WWW 2023] "Addressing Heterophily in Graph Anomaly Detection: A Perspective of Graph Spectrum" by Yuan Gao, Xiang Wang, Xiangnan He, Zhenguang Liu, Huamin Feng, Yongdong Zhang

  Language:Python34234

• ryoo-nakamura/OFDB

  Language:Python23111

• SUPER-TADORY/1p-frac

  Language:Python23110

• haoyanbin918/Group-Contextualization

  [CVPR22] Group Contextualization for Video Recognition

  Language:Python22132

• ty-97/H2CN

  Language:Python7112

• ty-97/SDA

  implementation for MM21 paper "Selective dependency aggregation for action classification"

  Language:Python4130