eehjc

eehjc's Stars

• VisionLearningGroup/DANCE

  repository for Universal Domain Adaptation through Self-supervision

  Language:Python12119

• facebookresearch/fairseq

  Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

  Language:Python30.8k6.4k

• facebookresearch/deepcluster

  Deep Clustering for Unsupervised Learning of Visual Features

  Language:Python1.7k325

• gupta-abhay/pytorch-vit

  An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

  Language:Python28734

• taufikxu/Learning-By-Teaching

  Learning Implicit Generative Models by Teaching Explicit Ones

  Language:Python61

• layumi/Seg-Uncertainty

  IJCAI2020 & IJCV2021 :city_sunrise: Unsupervised Scene Adaptation with Memory Regularization in vivo

  Language:Python38751

• ondrejklejch/learning_to_adapt

  Coordinate-wise meta-learner for speaker adaptation of ASR models.

  Language:Python207

• facebookresearch/SentAugment

  SentAugment is a data augmentation technique for NLP that retrieves similar sentences from a large bank of sentences. It can be used in combination with self-training and knowledge-distillation, or for retrieving paraphrases.

  Language:Python36334

• taohan10200/USADTM

  PyTorch implementations of "Unsupervised Semantic Aggregation and Deformable Template Matching for Semi-Supervised Learning" (NeurIPS2020)

  Language:Python316

• LeeDoYup/FixMatch-pytorch

  Unofficial Pytorch code for "FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence" in NeurIPS'20. This repo contains reproduced checkpoints.

  Language:Python19035

• vinodkkurmi/banchmarks-domain-adaptation

  21

• NEU-Gou/awesome-reid-dataset

  Collection of public available person re-identification datasets

  920157

• FDU-VTS/Awesome-Person-Re-Identification

  Awesome Person Re-Identification

  20544

• bismex/Awesome-person-re-identification

  Awesome Person Re-identification

  1.2k197

• HAHA-DL/MLDG

  The demo code for the MLDG paper "Learning to Generalize: Meta-Learning for Domain Generalization", https://arxiv.org/abs/1710.03463, https://arxiv.org/pdf/1710.03463.pdf

  Language:Python13936

• VITA-Group/MAD

  [ICLR 2020] Haotao Wang, Tianlong Chen, Zhangyang Wang, Kede Ma, "I Am Going MAD: Maximum Discrepancy Competition for Comparing Classifiers Adaptively"

  Language:Python203

• kinredon/DA_Detection_Material

  A Collection of Domain Adaptation for Object Detection Material

  28836

• TKKim93/APE

  [ECCV 2020] Attract, Perturb, and Explore: Learning a Feature Alignment Network for Semi-supervised Domain Adaptation

  Language:Python303

• Solacex/CCM

  [ECCV2020] Content-Consistent Matching for Domain Adaptive Semantic Segmentation

  Language:Python9410

• huitangtang/DisClusterDA

  Code release for Unsupervised Domain Adaptation via Distilled Discriminative Clustering published by Pattern Recognition in 2022

  Language:Python102

• qiuzhen8484/COVID-DA

  The dataset used in COVID-DA: Deep Domain Adaptation from Typical Pneumonia to COVID-19

  Language:Python112

• taufikxu/Triple-GAN

  Pytorch for Triple-GAN

  Language:Python427

• Gorilla-Lab-SCUT/DADA-AAAI2020

  Code release for Discriminative Adversarial Domain Adaptation (AAAI2020).

  Language:Python11714

• Gorilla-Lab-SCUT/SRDC-CVPR2020

  Code release for Unsupervised Domain Adaptation via Structurally Regularized Deep Clustering (CVPR2020-Oral).

  Language:Python8015

• bismex/Awesome-vehicle-re-identification

  Awesome Vehicle Re-identification

  14932

• VisionLearningGroup/SSDA_MME

  Semi-supervised Domain Adaptation via Minimax Entropy

  Language:Python30147

• Openning07/awesome-self-supervised-learning

  A curated list of awesome self-supervised methods

  11

• xiangjjj/implicit_alignment

  Code for ICML2020 "Implicit Class-Conditioned Domain Alignment for Unsupervised Domain Adaptation"

  Language:Python9010

• hongzimao/decima-sim

  Learning Scheduling Algorithms for Data Processing Clusters

  Language:Python29392

• FederatedAI/FATE

  An Industrial Grade Federated Learning Framework

  Language:Python5.8k1.6k