109 Open source projects that are alternatives of or similar to Semi Supervised Learning Pytorch

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

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

Implement of DiGCN, NeurIPS-2020

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

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

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

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

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

Semisupervided LDA for theory-driven text analysis

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

SPEAR: Programmatically label and build training data quickly.

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

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

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

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

Semi-supervised Learning GAN

A full pipeline AutoML tool for tabular data

Benchmarks for semi-supervised domain generalization.

Federated Learning Library: https://fedml.ai

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

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

TensorFlow implementation for "Guided Optical Flow Learning"

Adversarial Learning for Semi-supervised Semantic Segmentation, BMVC 2018

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

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

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

Invariant representation learning from imaging and spectral data

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

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

GANomaly: Semi-Supervised Anomaly Detection via Adversarial Training

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

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

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

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

Semi-Supervised Learning and Collective Classification

Learning to Cluster. A deep clustering strategy.

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

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

Joint Semi-supervised Learning of Image Registration and Segmentation

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

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

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

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

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

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

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

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

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.

Enhancing the BERT training with Semi-supervised Generative Adversarial Networks

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

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

Unsupervised and Semi-supervised Learning with Categorical Generative Adversarial Networks

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

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

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

😔 😞 😣 😖 😩 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 Ladder Network in PyTorch.

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

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

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