CrownX

PyTorch-MAML

A PyTorch implementation of Model Agnostic Meta-Learning (MAML) that faithfully reproduces the results from the original paper.

EqInv

[ECCV2022] The PyTorch implementation of paper "Equivariance and Invariance Inductive Bias for Learning from Insufficient Data"

Dassl.pytorch

A PyTorch toolbox for domain generalization, domain adaptation and semi-supervised learning.

cdfsl-benchmark

(ECCV 2020) Cross-Domain Few-Shot Learning Benchmarking System

awesome-few-shot-learning

A curated list of resources about few-shot and one-shot learning

awesome-few-shot-learning

A review for latest few-shot learning works

awesome-few-shot-meta-learning

awesome few shot / meta learning papers

awesome-papers-fewshot

Collection for Few-shot Learning

Transfer-Learning-Library

Transfer Learning Library for Domain Adaptation, Task Adaptation, and Domain Generalization

pytorch-adapt

Domain adaptation made easy. Fully featured, modular, and customizable.

meta-dataset

A dataset of datasets for learning to learn from few examples

pytorch-fgvc-dataset

PyTorch custom dataset APIs -- CUB-200-2011, Stanford Dogs, Stanford Cars, FGVC Aircraft, NABirds, Tiny ImageNet, iNaturalist2017

CloserLookFewShot

source code to ICLR'19, 'A Closer Look at Few-shot Classification'

prototypical-networks

Code for the NeurIPS 2017 Paper "Prototypical Networks for Few-shot Learning"

URL

Universal Representation Learning from Multiple Domains for Few-shot Classification - ICCV 2021, Cross-domain Few-shot Learning with Task-specific Adapters - CVPR 2022

Meta-FDMixup

Repository for the paper : Meta-FDMixup: Cross-Domain Few-Shot Learning Guided byLabeled Target Data

CrossDomainFewShot

Cross-Domain Few-Shot Classification via Learned Feature-Wise Transformation (ICLR 2020 spotlight)

Crawl-a-Paper

Crawl arXiv Everyday

awesome-source-free-test-time-adaptation

A curated list of papers in Test-time Adaptation, Test-time Training and Source-free Domain Adaptation

awesome-contrastive-self-supervised-learning

A comprehensive list of awesome contrastive self-supervised learning papers.

kkndme_tianya

天涯 kkndme 神贴聊房价

DA

Unsupervised Domain Adaptation Papers and Code

dage

Official TensorFlow implementation for "Supervised Domain Adaptation: A Graph Embedding Perspective and a Rectified Experimental Protocol" [TIP 2021] and "Supervised Domain Adaptation using Graph Embedding" [ICPR 2020]

Active-Gradual-Domain-Adaptation-Dataset-and-Approach

PyTorch Implementation of Paper "Active Gradual Domain Adaptation: Dataset and Approach" (IEEE-TMM 2022)

AuxSelfTrain

Gradual Domain Adaptation via Self-Training of Auxiliary Models

GVB

Code of Gradually Vanishing Bridge for Adversarial Domain Adaptation (CVPR2020)

gradual_domain_adaptation

MachineLearning

Machine learning resources

ML2022-Spring

**Official** 李宏毅 (Hung-yi Lee) 機器學習 Machine Learning 2022 Spring

awesome-domain-adaptation

A collection of AWESOME things about domian adaptation