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adversarial_training

Pytorch implementation of the methods proposed in **Adversarial Training Methods for Semi-Supervised Text Classification** on IMDB dataset

awesome-incremental-learning

Awesome Incremental Learning

awesome-semi-supervised-learning

:scroll: An up-to-date & curated list of awesome semi-supervised learning papers, methods & resources.

ba3us

code for our ECCV 2020 paper "A Balanced and Uncertainty-aware Approach for Partial Domain Adaptation"

cdfsl-ata

[IJCAI 2021 & AIJ 2023] Cross-Domain Few-Shot Classification via Adversarial Task Augmentation

cdfsl-benchmark

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

cldfd

Code implementation of ICLR paper entitled "Cross-Level Distillation and Feature Denoising for Cross-Domain Few-Shot Classification"

cvf-sid_pytorch

cvpr-2021-papers

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

d-graph-plus

Semi-supervised clustering - improving on d-graph.

deep-transfer-learning

A collection of implementations of deep domain adaptation algorithms

deepcluster

Deep Clustering for Unsupervised Learning of Visual Features

dg_mmld

Pytorch Implementation of Domain Generalization Using a Mixture of Multiple Latent Domains

dtcwt

Python port of the Dual-Tree Complex Wavelet Transform toolbox for MATLAB

easy-few-shot-learning

Ready-to-use code and tutorial notebooks to boost your way into few-shot learning for image classification.

efficient-computing

Efficient-Computing

espt

Pytorch source code of ESPT method in AAAI 2023

etn

Code released for CVPR 2019 paper "Learning to Transfer Examples for Partial Domain Adaptation"

fada-pytorch

pytorch implement for the paper Few-Shot Adversarial Domain Adaptation

fastswa-semi-sup

Improving Consistency-Based Semi-Supervised Learning with Weight Averaging

fdc

Fuzzy Discriminant Clustering with Fuzzy Pairwise Constraints

few-shot-gnn

few-shot-ssl-public

Meta Learning for Semi-Supervised Few-Shot Classification

g-mlp-pytorch

Implementation of gMLP, an all-MLP replacement for Transformers, in Pytorch

ganforcwru

New GAN models in dataset of CWRU

graphda

Unsupervised Domain Adaptation on Graphs/DSR

hts-eccv22

infots

Time Series Contrastive Learning with Information-Aware Augmentations (Code)

label-smoothing-for-crossentropyloss-pytorch

add a Arg: label_smoothing for torch.nn.CrossEntropyLoss()