semi-supervised-learning

Unsupervised Data Augmentation (UDA)

Federated Learning Library: https://fedml.ai

A state-of-the-art semi-supervised method for image recognition

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

Semi Supervised Learning for Medical Image Segmentation, a collection of literature reviews and code implementations.

Companion repository to GANs in Action: Deep learning with Generative Adversarial Networks

A PyTorch-based library for semi-supervised learning (NeurIPS'21)

GANomaly: Semi-Supervised Anomaly Detection via Adversarial Training

Implementations of various VAE-based semi-supervised and generative models in PyTorch

Semi-Supervised Learning, Object Detection, ICCV2021

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

[NeurIPS 2020] Semi-Supervision (Unlabeled Data) & Self-Supervision Improve Class-Imbalanced / Long-Tailed Learning

Code for the AAAI 2018 publication "SEE: Towards Semi-Supervised End-to-End Scene Text Recognition"

A Tensorflow implementation of Semi-supervised Learning Generative Adversarial Networks (NIPS 2016: Improved Techniques for Training GANs).

Code for "MixMatch - A Holistic Approach to Semi-Supervised Learning"

Code for the paper STN-OCR: A single Neural Network for Text Detection and Text Recognition

Unofficial PyTorch implementation of "FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence"

Adversarial Learning for Semi-supervised Semantic Segmentation, BMVC 2018

PseudoLabel 2013, VAT, PI model, Tempens, MeanTeacher, ICT, MixMatch, FixMatch

A curated collection of adversarial attack and defense on graph data.

Tensorflow implementation of our paper: Few-shot 3D Multi-modal Medical Image Segmentation using Generative Adversarial Learning

[CVPR 2021] Semi-Supervised Semantic Segmentation with Cross Pseudo Supervision

📄 Semi-Supervised Semantic Segmentation with Cross-Consistency Training (CVPR 2020).

Learning to Cluster. A deep clustering strategy.

Semi-supervised GAN in "Improved Techniques for Training GANs"

I try my best to keep updated cutting-edge knowledge in Machine Learning/Deep Learning and Natural Language Processing. These are my notes on some good papers

VOSK Speech Recognition Toolkit

speech to text with self-supervised learning based on wav2vec 2.0 framework