jianjiu17

jianjiu17's Stars

• google-research/google-research

  Google Research

  Language:Jupyter Notebook34.4k7531.3k7.9k

• pytorch/examples

  A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

  Language:Python22.4k3986409.5k

• 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:Python20.7k1542673.1k

• fuck-xuexiqiangguo/Fuck-XueXiQiangGuo

  学习强国 懒人刷分工具 自动学习

  8.3k2865861.8k

• TechXueXi/TechXueXi

  强国通 科技强国 学习强国 xuexiqiangguo 全网最好用开源网页学习强国助手：TechXueXi （懒人刷分工具 自动学习）技术强国，支持答题，支持 docker 45分/天

  Language:Python5.7k2341952k

• pengzhiliang/MAE-pytorch

  Unofficial PyTorch implementation of Masked Autoencoders Are Scalable Vision Learners

  Language:Python2.6k2497342

• jeonsworld/ViT-pytorch

  Pytorch reimplementation of the Vision Transformer (An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale)

  Language:Jupyter Notebook1.9k1355373

• facebookresearch/simsiam

  PyTorch implementation of SimSiam https//arxiv.org/abs/2011.10566

  Language:Python1.2k1246176

• PatrickHua/SimSiam

  A pytorch implementation for paper 'Exploring Simple Siamese Representation Learning'

  Language:Python817942135

• leftthomas/SimCLR

  A PyTorch implementation of SimCLR based on ICML 2020 paper "A Simple Framework for Contrastive Learning of Visual Representations"

  Language:Python543736111

• LiJunnan1992/DivideMix

  Code for paper: DivideMix: Learning with Noisy Labels as Semi-supervised Learning

  Language:Python54395384

• nayeemrizve/ups

  "In Defense of Pseudo-Labeling: An Uncertainty-Aware Pseudo-label Selection Framework for Semi-Supervised Learning" by Mamshad Nayeem Rizve, Kevin Duarte, Yogesh S Rawat, Mubarak Shah (ICLR 2021)

  Language:Python23021240

• hbzju/PiCO

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

  Language:Python2086735

• HanxunH/Active-Passive-Losses

  [ICML2020] Normalized Loss Functions for Deep Learning with Noisy Labels

  Language:Python1344428

• ydkim1293/NLNL-Negative-Learning-for-Noisy-Labels

  NLNL: Negative Learning for Noisy Labels

  Language:Python1036823

• facebookresearch/asym-siam

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

  Language:Python1001165

• xiaoboxia/CDR

  ICLR‘2021: Robust Early-learning: Hindering the Memorization of Noisy Labels

  Language:Python754310

• ContrastToDivide/C2D

  PyTorch implementation of "Contrast to Divide: self-supervised pre-training for learning with noisy labels"

  Language:Python703613

• XinshaoAmosWang/ProSelfLC-AT

  noisy labels; missing labels; semi-supervised learning; entropy; uncertainty; robustness and generalisation.

  Language:HTML59342

• UCSC-REAL/CAL

  A Second-Order Approach to Learning with Instance-Dependent Label Noise (CVPR'21 oral)

  Language:Python47319

• likelyzhao/vit-pytorch

  vit model from tensorflow

  Language:Python451214

• liyi01827/noisy-contrastive

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

  Language:Python40154

• Kthyeon/FINE_official

  NeurIPS 2021, "Fine Samples for Learning with Noisy Labels"

  Language:Python383414

• UCSC-REAL/cores

  Learning with Instance-Dependent Label Noise: A Sample Sieve Approach (ICLR2021)

  Language:Python36405

• ljmiao/PENCIL

  implement of paper 'Probabilistic End-to-end Noise Correction for Learning with Noisy Labels'

  Language:Python16253

• a5507203/Instance-dependent-Label-noise-Learning-under-a-Structural-Causal-Model

  Language:Python15244

• tmllab/Me-Momentum

  Language:Python13111

• d0scoo1/OpenSeed

  A smart contract that provides random seeds to researchers.

  Language:Solidity90

• xiaoboxia/TML-Group

  The code that TML group often uses

  Language:Python7203

• DAGfans/chinese-programmer-wrong-pronunciation

  **程序员容易发音错误的单词

  Language:JavaScript1000