canaan33's Stars
SHI-Labs/Diffusion-Driven-Test-Time-Adaptation-via-Synthetic-Domain-Alignment
Everything to the Synthetic: Diffusion-driven Test-time Adaptation via Synthetic-Domain Alignment
tim-learn/awesome-test-time-adaptation
Collection of awesome test-time (domain/batch/instance) adaptation methods
qubvel/ttach
Image Test Time Augmentation with PyTorch!
okojoalg/dfformer
Xtra-Computing/NIID-Bench
Federated Learning Benchmark - Federated Learning on Non-IID Data Silos: An Experimental Study (ICDE 2022)
rashindrie/DIPA
Discriminative Sample-Guided and Parameter-Efficient Feature Space Adaptation for Cross-domain Few-Shot Learning - CVPR 2024
xuhuali-mxj/IM-DCL
The code of paper "Enhancing Information Maximization with Distance-Aware Contrastive Learning for Source-Free Cross-Domain Few-Shot Learning"
ystemsrx/Application-Monitoring
监控在应用程序中的键盘活动，并自动记录定时通过邮件发送 / Monitor keyboard activities in applications, automatically recording and sending logs regularly via email
Haoqing-Wang/CDFSL-ATA
[IJCAI 2021 & AIJ 2023] Cross-Domain Few-Shot Classification via Adversarial Task Augmentation
zhuyiYZU/UPT
Convert Cross-domain Classification into Few-shot Learning: A Unified Prompt-tuning Framework for Unsupervised Domain Adaptation
val-iisc/VL2V-ADiP
[CVPR 2024] Leveraging Vision-Language Models for Improving Domain Generalization in Image Classification
google/uncertainty-baselines
High-quality implementations of standard and SOTA methods on a variety of tasks.
hamanhbui/reliable_ssl_baselines
Benchmark for Uncertainty & Robustness in Self-Supervised Learning.
dougbrion/pytorch-classification-uncertainty
This repo contains a PyTorch implementation of the paper: "Evidential Deep Learning to Quantify Classification Uncertainty"
AiMl-hub/UPLM
Uncertainty-Guided Pseudo-Labelling with Model Averaging
ENSTA-U2IS-AI/awesome-uncertainty-deeplearning
This repository contains a collection of surveys, datasets, papers, and codes, for predictive uncertainty estimation in deep learning models.
AlaaLab/deep-learning-uncertainty
Literature survey, paper reviews, experimental setups and a collection of implementations for baselines methods for predictive uncertainty estimation in deep learning models.
FLHonker/Awesome-Knowledge-Distillation
Awesome Knowledge-Distillation. 分类整理的知识蒸馏paper(2014-2021)。
amber0309/Domain-generalization
All about domain generalization
lovelyqian/StyleAdv-CDFSL
Repository for the CVPR-2023 paper : StyleAdv: Meta Style Adversarial Training for Cross-Domain Few-Shot Learning
sungnyun/understanding-cdfsl
(NeurIPS 2022) Understanding Cross-Domain Few-Shot Learning Based on Domain Similarity and Few-Shot Difficulty
iCVTEAM/Dara
Dual Adaptive Representation Alignment for Cross-domain Few-shot Learning TPAMI 2023
lovelyqian/Meta-FDMixup
Repository for the paper : Meta-FDMixup: Cross-Domain Few-Shot Learning Guided byLabeled Target Data
fyancy/MetaFD
The source codes of Meta-learning for few-shot cross-domain fault diagnosis.
VICO-UoE/URL
Universal Representation Learning from Multiple Domains for Few-shot Classification - ICCV 2021, Cross-domain Few-shot Learning with Task-specific Adapters - CVPR 2022
IsolationKernel/Codes
junkunyuan/Awesome-Domain-Generalization
Awesome things about domain generalization, including papers, code, etc.
facebookresearch/DomainBed
DomainBed is a suite to test domain generalization algorithms
jindongwang/transferlearning
Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习
yujincheng08/BiliRoaming
哔哩漫游，解除B站客户端番剧区域限制的Xposed模块，并且提供其他小功能。An Xposed module that unblocks bangumi area limit of BILIBILI with miscellaneous features.