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ganbert-pytorchEnhancing the BERT training with Semi-supervised Generative Adversarial Networks in Pytorch/HuggingFace
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Mixmatch PytorchCode for "MixMatch - A Holistic Approach to Semi-Supervised Learning"
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CsiGANAn 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.
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DualStudentCode for Paper ''Dual Student: Breaking the Limits of the Teacher in Semi-Supervised Learning'' [ICCV 2019]
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AdversarialAudioSeparationCode accompanying the paper "Semi-supervised adversarial audio source separation applied to singing voice extraction"
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SusiSuSi: Python package for unsupervised, supervised and semi-supervised self-organizing maps (SOM)
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semantic-parsing-dualSource code and data for ACL 2019 Long Paper ``Semantic Parsing with Dual Learning".
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Fewshot gan Unet3dTensorflow implementation of our paper: Few-shot 3D Multi-modal Medical Image Segmentation using Generative Adversarial Learning
Stars: ✭ 272 (+240%)
DST-CBCImplementation of our paper "DMT: Dynamic Mutual Training for Semi-Supervised Learning"
Stars: ✭ 98 (+22.5%)
EC-GANEC-GAN: Low-Sample Classification using Semi-Supervised Algorithms and GANs (AAAI 2021)
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GanomalyGANomaly: Semi-Supervised Anomaly Detection via Adversarial Training
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catgan pytorchUnsupervised and Semi-supervised Learning with Categorical Generative Adversarial Networks
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Stn OcrCode for the paper STN-OCR: A single Neural Network for Text Detection and Text Recognition
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Context-Aware-ConsistencySemi-supervised Semantic Segmentation with Directional Context-aware Consistency (CVPR 2021)
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Mean TeacherA state-of-the-art semi-supervised method for image recognition
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Ssl4misSemi Supervised Learning for Medical Image Segmentation, a collection of literature reviews and code implementations.
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DeepAtlasJoint Semi-supervised Learning of Image Registration and Segmentation
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L2cLearning to Cluster. A deep clustering strategy.
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DiGCNImplement of DiGCN, NeurIPS-2020
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seededldaSemisupervided LDA for theory-driven text analysis
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Alibi DetectAlgorithms for outlier and adversarial instance detection, concept drift and metrics.
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SSL CR HistoOfficial code for "Self-Supervised driven Consistency Training for Annotation Efficient Histopathology Image Analysis" Published in Medical Image Analysis (MedIA) Journal, Oct, 2021.
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SeeCode for the AAAI 2018 publication "SEE: Towards Semi-Supervised End-to-End Scene Text Recognition"
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fixmatch-pytorch90%+ with 40 labels. please see the readme for details.
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Sparsely Grouped GanCode for paper "Sparsely Grouped Multi-task Generative Adversarial Networks for Facial Attribute Manipulation"
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Pseudo-Label-KerasPseudo-Label: Semi-Supervised Learning on CIFAR-10 in Keras
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Ssgan TensorflowA Tensorflow implementation of Semi-supervised Learning Generative Adversarial Networks (NIPS 2016: Improved Techniques for Training GANs).
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spearSPEAR: Programmatically label and build training data quickly.
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Social Media Depression Detector😔 😞 😣 😖 😩 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"
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AdvsemisegAdversarial Learning for Semi-supervised Semantic Segmentation, BMVC 2018
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SemiSeg-AELSemi-Supervised Semantic Segmentation via Adaptive Equalization Learning, NeurIPS 2021 (Spotlight)
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GrandSource code and dataset of the NeurIPS 2020 paper "Graph Random Neural Network for Semi-Supervised Learning on Graphs"
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deviation-networkSource code of the KDD19 paper "Deep anomaly detection with deviation networks", weakly/partially supervised anomaly detection, few-shot anomaly detection
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Imbalanced Semi Self[NeurIPS 2020] Semi-Supervision (Unlabeled Data) & Self-Supervision Improve Class-Imbalanced / Long-Tailed Learning
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LadderImplementation of Ladder Network in PyTorch.
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JCLALJCLAL is a general purpose framework developed in Java for Active Learning.
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TapeTasks Assessing Protein Embeddings (TAPE), a set of five biologically relevant semi-supervised learning tasks spread across different domains of protein biology.
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ssdg-benchmarkBenchmarks for semi-supervised domain generalization.
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Ali PytorchPyTorch implementation of Adversarially Learned Inference (BiGAN).
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pyprophetPyProphet: Semi-supervised learning and scoring of OpenSWATH results.
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Fixmatch PytorchUnofficial PyTorch implementation of "FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence"
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semi-memoryTensorflow Implementation on Paper [ECCV2018]Semi-Supervised Deep Learning with Memory
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HyperGBMA full pipeline AutoML tool for tabular data
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DtcSemi-supervised Medical Image Segmentation through Dual-task Consistency
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DeepaffinityProtein-compound affinity prediction through unified RNN-CNN
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Acgan PytorchPytorch implementation of Conditional Image Synthesis with Auxiliary Classifier GANs
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Semi Supervised PytorchImplementations of various VAE-based semi-supervised and generative models in PyTorch
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SHOT-pluscode for our TPAMI 2021 paper "Source Data-absent Unsupervised Domain Adaptation through Hypothesis Transfer and Labeling Transfer"
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