Awj2021

Awj2021's Stars

• facebookresearch/faiss

  A library for efficient similarity search and clustering of dense vectors.

  Language:C++30.7k4802.5k3.6k

• dbader/schedule

  Python job scheduling for humans.

  Language:Python11.8k210441962

• jupyterlab/jupyterlab-desktop

  JupyterLab desktop application, based on Electron.

  Language:TypeScript3.7k52437350

• HobbitLong/SupContrast

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

  Language:Python3.1k20134528

• subeeshvasu/Awesome-Learning-with-Label-Noise

  A curated list of resources for Learning with Noisy Labels

  2.6k10013352

• dvanoni/notero

  A Zotero plugin for syncing items and notes into Notion

  Language:TypeScript2.3k2524199

• henry123-boy/SpaTracker

  [CVPR 2024 Highlight] Official PyTorch implementation of SpatialTracker: Tracking Any 2D Pixels in 3D Space

  Language:Python691603622

• k-han/AutoNovel

  "Automatically Discovering and Learning New Visual Categories with Ranking Statistics" by Kai Han, Sylvestre-Alvise Rebuffi, Sebastien Ehrhardt, Andrea Vedaldi, Andrew Zisserman (ICLR 2020)

  Language:Python22271520

• megvii-research/CADDM

  Official implementation of ID-unaware Deepfake Detection Model

  Language:C++14665021

• yangqy1110/NC-SDEdit

  [ECCV 2024] Noise Calibration: Plug-and-play Content-Preserving Video Enhancement using Pre-trained Video Diffusion Models

  76321

• Hzzone/TCL

  Twin Contrastive Learning with Noisy Labels (CVPR 2023)

  Language:Python694510

• DiegoOrtego/LabelNoiseMOIT

  Official implementation for: "Multi-Objective Interpolation Training for Robustness to Label Noise"

  Language:Python39365

• liyi01827/noisy-contrastive

  A PyTorch-based library for On Learning Contrastive Representations for Learning With Noisy Labels (CVPR'22)

  Language:Python37153

• tmllab/2023_NeurIPS_CS-isolate

  Language:Python18201

• visitworld123/Twin-sight

  [ICLR 2024] "Robust Training of Federated Models with Extremely Label Deficiency"

  Language:Python16101

• DerrickWang005/MosRep.pytorch

  Mosaic Representation Learning for Self-supervised Visual Pre-training (ICLR2023, Spotlight)

  Language:Python15113

• zhuohuangai/HOOD

  Code for ICLR 2023 Harnessing Out-Of-Distribution Examples via Augmenting Content and Style

  Language:Python13101

• cs-mshah/CDUL

  Unofficial Implementation to CDUL: CLIP-Driven Unsupervised Learning for Multi-Label Image Classification [ICCV'23]

  Language:Python121

• cvlab-yonsei/RankMixup

  An official implementation of "RankMixup: Ranking-Based Mixup Training for Network Calibration" (ICCV 2023) in PyTorch.

  Language:Python930

• jiexuanyan/CPRFL

  Language:Python82

• kuojia0205/prml-cn

  This is a Chinese version of Pattern Recognition and Machine Learning.

  Language:TeX7202

• Fahim-F/ManifoldDivideMix

  Language:Python6210

• ies-research/multi-annotator-deep-learning

  Code associated to the article "Multi-annotator Deep Learning: A Probabilistic Framework for Classification"

  Language:Python60

• fuxiAIlab/ProtoSemi

  Language:Python4201

• NUST-Machine-Intelligence-Laboratory/NPN

  3

• hvcl/ConNucDA

  Official implementation of a paper accepted on MICCAI 2024

  20

• Awj2021/DivideMix

  Code for DivideMix

  Language:Python10

• Awj2021/multi-annotator-machine-learning

  Language:Python1000

• Feng-peng-Li/Regroup-Loss-Median-to-Combat-Label-Noise

  Source code for AAAI-2024 Accepted paper Regroup Median Loss for Combating Label Noise

  Language:Python11

• lxysl/PLReMix

  Official pytorch implementation code of paper "PLReMix: Combating Noisy Labels with Pseudo-Label Relaxed Contrastive Representation Learning"

  Language:Python1110