haooooooqi

haooooooqi's Stars

• Stability-AI/stablediffusion

  High-Resolution Image Synthesis with Latent Diffusion Models

  Language:Python38.3k4433044.9k

• XingangPan/DragGAN

  Official Code for DragGAN (SIGGRAPH 2023)

  Language:Python35.6k9991883.4k

• albumentations-team/albumentations

  Fast and flexible image augmentation library. Paper about the library: https://www.mdpi.com/2078-2489/11/2/125

  Language:Python14k1299861.6k

• mlfoundations/open_clip

  An open source implementation of CLIP.

  Language:Python9.7k77463950

• facebookresearch/mae

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

  Language:Python7.1k561901.2k

• facebookresearch/pytorchvideo

  A deep learning library for video understanding research.

  Language:Python3.3k156181402

• zhanghang1989/ResNeSt

  ResNeSt: Split-Attention Networks

  Language:Python3.2k57142496

• princeton-vl/RAFT

  Language:Python3.2k39170623

• google-research/big_vision

  Official codebase used to develop Vision Transformer, SigLIP, MLP-Mixer, LiT and more.

  Language:Jupyter Notebook2.2k4153148

• mit-han-lab/once-for-all

  [ICLR 2020] Once for All: Train One Network and Specialize it for Efficient Deployment

  Language:Python1.9k5375334

• bytedance/ibot

  iBOT :robot:: Image BERT Pre-Training with Online Tokenizer (ICLR 2022)

  Language:Jupyter Notebook66063577

• mlfoundations/datacomp

  DataComp: In search of the next generation of multimodal datasets

  Language:Python634176251

• imbue-ai/self_supervised

  A Pytorch-Lightning implementation of self-supervised algorithms

  Language:Python529121352

• feichtenhofer/gpu_flow

  GPU based optical flow extraction in OpenCV

  Language:C++4301220109

• facebookresearch/mae_st

  Official Open Source code for "Masked Autoencoders As Spatiotemporal Learners"

  Language:Python30972333

• facebookresearch/Motionformer

  Code + pre-trained models for the paper Keeping Your Eye on the Ball Trajectory Attention in Video Transformers

  Language:Python223111329

• maple-research-lab/AdCo

  AdCo: Adversarial Contrast for Efficient Learning of Unsupervised Representations from Self-Trained Negative Adversaries

  Language:Python16271719

• facebookresearch/asym-siam

  PyTorch implementation of Asymmetric Siamese (https://arxiv.org/abs/2204.00613)

  Language:Python1001165

• maple-research-lab/EnAET

  EnAET: Self-Trained Ensemble AutoEncoding Transformations for Semi-Supervised Learning

  Language:Python81556

• wang3702/EnAET

  EnAET: Self-Trained Ensemble AutoEncoding Transformations for Semi-Supervised Learning

  Language:Python69438

• maple-research-lab/CLSA

  official implemntation for "Contrastive Learning with Stronger Augmentations"

  Language:Python572714

• kiharalab/GNN_DOVE

  Code for "Protein Docking Model Evaluation by Graph Neural Networks"

  Language:Python565822

• kiharalab/DOVE

  A Deep-learning based dOcking decoy eValuation mEthod

  Language:Python5431413

• newsdata/SoccerDB

  SoccerDB: A Large-Scale Database for Comprehensive Video Understanding

  Language:Python45535

• kiharalab/Emap2secPlus

  Emap2sec+: Detecting Protein and DNA/RNA Structures in Cryo-EM Maps of Intermediate Resolution Using Deep Learning

  Language:Jupyter Notebook16329

• kiharalab/DAQ

  DAQ: Residue-Wise Local Quality Estimation for Protein Models from Cryo-EM Maps

  Language:C12421

• thetkim9/SlowFast

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

  Language:Python6200

• minjeekim00/handhygiene

  Language:Jupyter Notebook5000

• kiharalab/OC_Finder

  Language:Python4301

• minjeekim00/SlowFast

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

  Language:Python1100