Top 110 semi-supervised-learning open source projects

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

Unsupervised and Semi-supervised Learning with Categorical Generative Adversarial Networks

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

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

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

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

SPEAR: Programmatically label and build training data quickly.

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

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

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

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

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

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

Semi-Supervised Learning and Collective Classification

Semi-supervised Learning GAN

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

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

Joint Semi-supervised Learning of Image Registration and Segmentation

Benchmarks for semi-supervised domain generalization.

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

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

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

Tensorflow Implementation on Paper [ECCV2018]Semi-Supervised Deep Learning with Memory

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

Semisupervided LDA for theory-driven text analysis

Pytorch implementations of generative models: VQVAE2, AIR, DRAW, InfoGAN, DCGAN, SSVAE

TensorFlow implementation for "Guided Optical Flow Learning"

Enhancing the BERT training with Semi-supervised Generative Adversarial Networks

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

PyTorch Implementation of ByteDance's Cross-speaker Emotion Transfer Based on Speaker Condition Layer Normalization and Semi-Supervised Training in Text-To-Speech

Implementing Billion-scale semi-supervised learning for image classification using Pytorch

Pytorch Implementation of HybridNet: Classification and Reconstruction Cooperation for Semi-Supervised Learning (https://arxiv.org/abs/1807.11407)

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

Invariant representation learning from imaging and spectral data

Generalized Product Quantization Network For Semi-supervised Image Retrieval - CVPR 2020

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

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

Code for the paper: "SimPLE: Similar Pseudo Label Exploitation for Semi-Supervised Classification"

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

Sinkhorn Label Allocation is a label assignment method for semi-supervised self-training algorithms. The SLA algorithm is described in full in this ICML 2021 paper: https://arxiv.org/abs/2102.08622.

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

Keras implementation of temporal ensembling(semi-supervised learning)

Reproduce some methods in semi-supervised papers.

Deep Metric Transfer for Label Propagation with Limited Annotated Data

Implementation of the KDD 2020 paper "Graph Structure Learning for Robust Graph Neural Networks"

Python codes for weakly-supervised learning

[CVPR 2022] ST++: Make Self-training Work Better for Semi-supervised Semantic Segmentation

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

Active learning for deep object detection using YOLO

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