myt889

myt889's Stars

• PKUanonym/REKCARC-TSC-UHT

  清华大学计算机系课程攻略 Guidance for courses in Department of Computer Science and Technology, Tsinghua University

  Language:HTML33.7k885317.7k

• lucidrains/vit-pytorch

  Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch

  Language:Python21.3k1562693.1k

• UKPLab/sentence-transformers

  State-of-the-Art Text Embeddings

  Language:Python15.7k1432.3k2.5k

• lightly-ai/lightly

  A python library for self-supervised learning on images.

  Language:Python3.2k30583287

• JDAI-CV/FaceX-Zoo

  A PyTorch Toolbox for Face Recognition

  Language:Python1.9k41161432

• KaiyangZhou/CoOp

  Prompt Learning for Vision-Language Models (IJCV'22, CVPR'22)

  Language:Python1.8k1682204

• luo3300612/Visualizer

  assistant tools for attention visualization in deep learning

  Language:Jupyter Notebook1.1k32583

• KaiyangZhou/pytorch-center-loss

  Pytorch implementation of Center Loss

  Language:Python976827218

• CristiFati/Prebuilt-Binaries

  Various software built on various platforms.

  24011171

• CVI-SZU/ME-GraphAU

  [IJCAI 2022] Learning Multi-dimensional Edge Feature-based AU Relation Graph for Facial Action Unit Recognition, Pytorch code

  Language:Python16641938

• Ontheway361/dul-pytorch

  [2020-CVPR]Data Uncertainty Learning in Face Recognition

  Language:Python16542133

• salesforce/CoMatch

  Code for CoMatch: Semi-supervised Learning with Contrastive Graph Regularization

  Language:Python12751224

• 2014mchidamb/TorchGlove

  PyTorch implementation of Global Vectors for Word Representation.

  Language:Python912217

• zengqunzhao/MA-Net

  [TIP'21] Learning Deep Global Multi-scale and Local Attention Features for Facial Expression Recognition in the Wild

  Language:Python8531316

• NJU-PCALab/STTrack

  [AAAI 2025] Exploiting Multimodal Spatial-temporal Patterns for Video Object Tracking

  Language:Python710

• by-liu/MbLS

  Code of our method MbLS (Margin-based Label Smoothing) for network calibration. To Appear at CVPR 2022. Paper : https://arxiv.org/abs/2111.15430

  Language:Python49136

• JackYFL/DISC

  The official implementation of CVPR2023 paper "DISC: Learning from Noisy Labels via Dynamic Instance-Specific Selection and Correction"

  Language:Python431156

• MAFW-database/MAFW

  A Large-scale, Multi-modal, Compound Affective Database for Dynamic Facial Expression Recognition in the Wild.

  36222

• zyh-uaiaaaa/Mine-Extra-Knowledge

  Official implementation of the NeurIPS2023 paper: Leave No Stone Unturned: Mine Extra Knowledge for Imbalanced Facial Expression Recognition

  Language:Python25243

• JackYFL/EMMA_CoTEX_ABAW4

  The codebase for ABAW4 challenge of ECCV2022 workshop.

  Language:Python19201

• hujiecpp/NAD

  The project page of paper: Architecture disentanglement for deep neural networks [ICCV 2021, oral]

  Language:Python15505

• ZBigFish/AffectNet-Dataset-Preprocessing-Tool

  A Python tool for preprocessing the AffectNet dataset into a structure that can be directly read by Pytorch's ImageFolder method.一个用于预处理AffectNet数据集的Python工具，使其可以直接被Pytorch中的ImageFolder方法读取。

  Language:Python13211

• smwanghhh/Co-SA

  Language:Python11111

• Sunner4nwpu/RA-UWML-AU-Pytorch

  Language:Python5211

• myt889/Awesome-Multi-label-Image-Recognition

  Awesome Multi-label Image Recognition Paper List

  2001

• zzzzzzyang/MAN

  Official implementation of our PRL paper: MAN: Mining Ambiguity and Noise for Facial Expression Recognition in the Wild

  Language:Python20

• myt889/DSU

  Official pytorch implementation of "Uncertainty Modeling for Out-of-Distribution Generalization" in International Conference on Learning Representations (ICLR) 2022.

  Language:Python1000

• myt889/PiCO

  PyTorch implementation of PiCO https://arxiv.org/abs/2201.08984

  Language:Python1000

• myt889/REKCARC-TSC-UHT

  清华大学计算机系课程攻略 Guidance for courses in Department of Computer Science and Technology, Tsinghua University

  Language:HTML1000

• seven-sent/PlotNeuralNet

  Latex code for making neural networks diagrams

  Language:TeX1001