179 Open source projects that are alternatives of or similar to Semi-Supervised-Learning-GAN

Experiments on Flood Segmentation on Sentinel-1 SAR Imagery with Cyclical Pseudo Labeling and Noisy Student Training

Pytorch Implementation of the paper MixMatch: A Holistic Approach to Semi-Supervised Learning (https://arxiv.org/pdf/1905.02249.pdf)

PyTorch implementation of EMAN for self-supervised and semi-supervised learning: https://arxiv.org/abs/2101.08482

Code for reproducing ICT ( published in IJCAI 2019)

tensorflow2.x implementations of Generative Adversarial Networks.

Official PyTorch implementation of "Towards Deeper Graph Neural Networks" [KDD2020]

Pytorch Implementation of "Adversarial Learning For Semi-Supervised Semantic Segmentation" for ICLR 2018 Reproducibility Challenge

Pytorch implementation of "Graph Convolutional Networks for Text Classification"

EC-GAN: Low-Sample Classification using Semi-Supervised Algorithms and GANs (AAAI 2021)

Semi-supervised Medical Image Segmentation through Dual-task Consistency

Tasks Assessing Protein Embeddings (TAPE), a set of five biologically relevant semi-supervised learning tasks spread across different domains of protein biology. (DEPRECATED)

Protein-compound affinity prediction through unified RNN-CNN

Official implementation of the paper "You Only Need Adversarial Supervision for Semantic Image Synthesis" (ICLR 2021)

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

🧹 Formerly for binary classification with noisy labels. Replaced by cleanlab.

Pytorch implementation of Conditional Image Synthesis with Auxiliary Classifier GANs

Semisupervided LDA for theory-driven text analysis

Several SSL methods (Pi model, Mean Teacher) are implemented in pytorch

Keras implementation of temporal ensembling(semi-supervised learning)

SuSi: Python package for unsupervised, supervised and semi-supervised self-organizing maps (SOM)

Feature Detection and Matching with SIFT, SURF, KAZE, BRIEF, ORB, BRISK, AKAZE and FREAK through the Brute Force and FLANN algorithms using Python and OpenCV

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

Deep Metric Transfer for Label Propagation with Limited Annotated Data

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

TensorFlow implementation for "Guided Optical Flow Learning"

GANomaly: Semi-Supervised Anomaly Detection via Adversarial Training

Python codes for weakly-supervised learning

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

[CVPR 2022] StyleGAN-V: A Continuous Video Generator with the Price, Image Quality and Perks of StyleGAN2

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

Reimplementation of "Realistic Evaluation of Deep Semi-Supervised Learning Algorithms"

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

PyTorch implementation of Conditional Deep Convolutional Generative Adversarial Networks (cDCGAN)

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

[CVPR 2021] DeFMO: Deblurring and Shape Recovery of Fast Moving Objects

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

Code for Paper ''Dual Student: Breaking the Limits of the Teacher in Semi-Supervised Learning'' [ICCV 2019]

Learning to Cluster. A deep clustering strategy.

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

code for our TPAMI 2021 paper "Source Data-absent Unsupervised Domain Adaptation through Hypothesis Transfer and Labeling Transfer"

This project is a semi-supervised approach to detect emotions on faces in-the-wild using GAN

Implementation of our paper "DMT: Dynamic Mutual Training for Semi-Supervised Learning"

Tensorflow implementation of Adversarial Autoencoders

An implementation for our paper: CsiGAN: Robust Channel State Information-based Activity Recognition with GANs (IEEE Internet of Things Journal, 2019), which is the semi-supervised Generative Adversarial Network (GAN) for Channel State Information (CSI) -based activity recognition.

Joint Semi-supervised Learning of Image Registration and Segmentation

Unsupervised and Semi-supervised Learning with Categorical Generative Adversarial Networks

Autoencoders for Link Prediction and Semi-Supervised Node Classification (DSAA 2018)

noisy labels; missing labels; semi-supervised learning; entropy; uncertainty; robustness and generalisation.

Automatic feature engineering using Generative Adversarial Networks using Deeplearning4j and Apache Spark.

[CVPR21] Implementation of our work "Three Ways to Improve Semantic Segmentation with Self-Supervised Depth Estimation"

VOSK Speech Recognition Toolkit

Code accompanying the paper "Semi-supervised adversarial audio source separation applied to singing voice extraction"

PyProphet: Semi-supervised learning and scoring of OpenSWATH results.

[ICCV 2019]Aggregation via Separation: Boosting Facial Landmark Detector with Semi-Supervised Style Transition

CFG-GAN: Composite functional gradient learning of generative adversarial models

Source code and data for ACL 2019 Long Paper ``Semantic Parsing with Dual Learning".

Guided Conditional Wasserstein GAN for De Novo Protein Design

GAN model using PyTorch

supervised and semi-supervised image classification with self-supervision (Keras)

Weakly- and Semi-Supervised Panoptic Segmentation (ECCV18)