PURE BOSS's repositories
ts2vec
A universal time series representation learning framework
soda
Unofficial Pytorch implementation of "SODA: Bottleneck Diffusion Models for Representation Learning"
cldfd
Code implementation of ICLR paper entitled "Cross-Level Distillation and Feature Denoising for Cross-Domain Few-Shot Classification"
SupReMix
This repository contains the implementation code for paper: Mixup Your Own Pairs
ESPT
Pytorch source code of ESPT method in AAAI 2023
RLSbench
Code and results accompanying our paper titled RLSbench: Domain Adaptation under Relaxed Label Shift
easy-few-shot-learning
Ready-to-use code and tutorial notebooks to boost your way into few-shot learning for image classification.
Transfer-Learning-Library
Transfer Learning Library for Domain Adaptation, Task Adaptation, and Domain Generalization
UniMatch
[CVPR 2023] Revisiting Weak-to-Strong Consistency in Semi-Supervised Semantic Segmentation
SPDA
The implementation of "Selective Partial Domain Adaptation" [BMVC 2022].
Efficient-Computing
Efficient-Computing
InfoTS
Time Series Contrastive Learning with Information-Aware Augmentations (Code)
unisiam
[ECCV2022] PyTorch re-implementation of Self-Supervision Can Be a Good Few-Shot Learner
CDFSL-ATA
[IJCAI 2021 & AIJ 2023] Cross-Domain Few-Shot Classification via Adversarial Task Augmentation
SLM
This repository contains the official implementation of SLM (WACV 2023) https://arxiv.org/pdf/2012.03358.pdf.
Debiased-Self-Training
Code release of paper Debiased Self-Training for Semi-Supervised Learning (NeurIPS 2022 Oral)
robustdg
Toolkit for building machine learning models that generalize to unseen domains and are robust to privacy and other attacks.
GraphDA
Unsupervised Domain Adaptation on Graphs/DSR
dg_mmld
Pytorch Implementation of Domain Generalization Using a Mixture of Multiple Latent Domains
deepcluster
Deep Clustering for Unsupervised Learning of Visual Features
dtcwt
Python port of the Dual-Tree Complex Wavelet Transform toolbox for MATLAB
g-mlp-pytorch
Implementation of gMLP, an all-MLP replacement for Transformers, in Pytorch
CVPR2021-Paper-Code-Interpretation
cvpr2021/cvpr2020/cvpr2019/cvpr2018/cvpr2017 论文/代码/解读/直播合集,极市团队整理
awesome-semi-supervised-learning
:scroll: An up-to-date & curated list of awesome semi-supervised learning papers, methods & resources.
Awesome-Incremental-Learning
Awesome Incremental Learning