132 Open source projects that are alternatives of or similar to Mean Teacher

Implementation of Temporal Ensembling for Semi-Supervised Learning by Laine et al. with tensorflow eager execution

Code for the paper Semi-Conditional Normalizing Flows for Semi-Supervised Learning

Adversarial Learning for Semi-supervised Semantic Segmentation, BMVC 2018

Tensorflow Implementation of "Large-scale Optimal Transport and Mapping Estimation"(ICLR2018/NIPS 2017 OTML)

Selective Classification For Deep Neural Networks.

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

Pseudo-Label: Semi-Supervised Learning on CIFAR-10 in Keras

Reproduction code for WGAN-LP

Source code of the KDD19 paper "Deep anomaly detection with deviation networks", weakly/partially supervised anomaly detection, few-shot anomaly detection

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

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

Benchmarks for semi-supervised domain generalization.

Algorithms for outlier and adversarial instance detection, concept drift and metrics.

Official code for "Self-Supervised driven Consistency Training for Annotation Efficient Histopathology Image Analysis" Published in Medical Image Analysis (MedIA) Journal, Oct, 2021.

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

90%+ with 40 labels. please see the readme for details.

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

SPEAR: Programmatically label and build training data quickly.

Implementation of the paper : "Toward Multimodal Image-to-Image Translation"

Semi-Supervised Semantic Segmentation via Adaptive Equalization Learning, NeurIPS 2021 (Spotlight)

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

Semi-Supervised Learning and Collective Classification

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

JCLAL is a general purpose framework developed in Java for Active Learning.

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

A full pipeline AutoML tool for tabular data

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

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

Implement of DiGCN, NeurIPS-2020

😔 😞 😣 😖 😩 Detect depression on social media using the ssToT method introduced in our ASONAM 2017 paper titled "Semi-Supervised Approach to Monitoring Clinical Depressive Symptoms in Social Media"

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

GANomaly: Semi-Supervised Anomaly Detection via Adversarial Training

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.

Code for Universal Semi-Supervised Semantic Segmentation models paper accepted in ICCV 2019

Unsupervised and Semi-supervised Learning with Categorical Generative Adversarial Networks

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

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

Implementation of Ladder Network in PyTorch.

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

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

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

Pytorch implementation of Conditional Image Synthesis with Auxiliary Classifier GANs

Semi-supervised Semantic Segmentation with Directional Context-aware Consistency (CVPR 2021)

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

Enhancing the BERT training with Semi-supervised Generative Adversarial Networks in Pytorch/HuggingFace

A list of resources for all invited talks, tutorials, workshops and presentations at NIPS 2017

Global NIPS Paper Implementation Challenge of "Hiding Images in Plain Sight: Deep Steganography"

Hardnet descriptor model - "Working hard to know your neighbor's margins: Local descriptor learning loss"

Semi-supervised Learning GAN

Binary Convolution Network for faster real-time processing in ASICs

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

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

Joint Semi-supervised Learning of Image Registration and Segmentation

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

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

PyTorch implementation of Adversarially Learned Inference (BiGAN).

Our NIPS 2017: Learning to Run source code

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

Federated Learning Library: https://fedml.ai

Learning to Cluster. A deep clustering strategy.