eehjc

eehjc's Stars

• facebookresearch/moco

  PyTorch implementation of MoCo: https://arxiv.org/abs/1911.05722

  Language:Python4.8k52135795

• resumejob/interview-questions

  Interview Questions for Google, Amazon, Apple, etc. 根据超过 2000 篇真实面经整理的腾讯，阿里，字节跳动，Shopee，美团，滴滴高频面试题

  3.2k862391

• NVlabs/stylegan2-ada

  StyleGAN2 with adaptive discriminator augmentation (ADA) - Official TensorFlow implementation

  Language:Python1.8k34112499

• DWCTOD/interview

  2021秋招 计算机视觉算法岗面经整理——包含实习和校招等 内推整理

  779130120

• DeepVAC/deepvac

  PyTorch Project Specification.

  Language:Python670422104

• salesforce/PCL

  PyTorch code for "Prototypical Contrastive Learning of Unsupervised Representations"

  Language:Python575172584

• songhwanjun/Awesome-Noisy-Labels

  A Survey

  5465131

• YanchaoYang/FDA

  Fourier Domain Adaptation for Semantic Segmentation

  Language:Python50574482

• gaopengcuhk/CLIP-Adapter

  Language:Python485171122

• wetliu/energy_ood

  Language:Python40373565

• Timmy-Fang/Deformable-Image-Registration-Projects

  Deformable Image Registration Projects

  Language:Python2445646

• lixiaotong97/DSU

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

  Language:Python14831016

• joffery/M-ADA

  The Pytorch implementation for "Learning to Learn Single Domain Generalization" (CVPR 2020)

  Language:Python147111926

• HanxunH/Active-Passive-Losses

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

  Language:Python1354428

• Solacex/Domain-Consensus-Clustering

  [CVPR2021] Domain Consensus Clustering for Universal Domain Adaptation

  Language:Python10931917

• lartpang/HDFNet

  (ECCV 2020) Hierarchical Dynamic Filtering Network for RGB-D Salient Object Detection

  Language:Python874613

• tim-learn/DINE

  code for our CVPR 2022 paper "DINE: Domain Adaptation from Single and Multiple Black-box Predictors"

  Language:Python78247

• RoyalVane/ASM

  ( NeurIPS 2020 ) Adversarial Style Mining for One-Shot Unsupervised Domain Adaptation

  Language:Python695612

• XJTU-XGU/RSDA

  Code for paper "Spherical space domain adaptation with pseudo label (CVPR 2020)" and "Unsupervised and Semi-supervised Robust Spherical Space Domain Adaptation (TPAMI 2022)".

  Language:Python60369

• tim-learn/ATDOC

  code released for our CVPR 2021 paper "Domain Adaptation with Auxiliary Target Domain-Oriented Classifier"

  Language:Python55569

• jianlong-yuan/SimpleBaseline

  [ICCV 2021] A Simple Baseline for Semi-supervised Semantic Segmentation with Strong Data Augmentation

  Language:Python54377

• thuml/Debiased-Self-Training

  Code release of paper Debiased Self-Training for Semi-Supervised Learning (NeurIPS 2022 Oral)

  50434

• cyang-cityu/MetaCorrection

  [CVPR'21] MetaCorrection: Domain-aware Meta Loss Correction for Unsupervised Domain Adaptation in Semantic Segmentation

  Language:Python4531113

• gengmufeng/CNCL-denoising

  Pytorch implementation of Content-Noise Complementary Learning for Medical Image Denoising.

  Language:Python36156

• BIT-DA/SSAN

  [ACMMM 2020] Code release for "Simultaneous Semantic Alignment Network for Heterogenous Domain Adaptation" https://arxiv.org/abs/2008.01677

  Language:Python30339

• devavratTomar/sasan

  SASAN

  Language:Python25276

• filaPro/visda2019

  MixMatch Domain Adaptation: Prize-winning solution for both tracks of VisDA 2019 challenge

  Language:Python23312

• XLearning-SCU/2021-CVPR-MRL

  Learning Cross-modal Retrieval with Noisy Labels (CVPR 2021, PyTorch Code)

  Language:Python13001

• ting2696/Deep-Symmetric-Adaptation-Network

  9480

• royaaa88/Android-Studio-Sample

  This is a repository containing most of the tasks assigned by my Android teacher.

  Language:Java815