JCLALJCLAL is a general purpose framework developed in Java for Active Learning.
Stars: ✭ 22 (+10%)
Mutual labels: weka, semi-supervised-learning
candis🎀 A data mining suite for gene expression data.
Stars: ✭ 28 (+40%)
Mutual labels: weka
Cross-Speaker-Emotion-TransferPyTorch Implementation of ByteDance's Cross-speaker Emotion Transfer Based on Speaker Condition Layer Normalization and Semi-Supervised Training in Text-To-Speech
Stars: ✭ 107 (+435%)
Mutual labels: semi-supervised-learning
ETCI-2021-Competition-on-Flood-DetectionExperiments on Flood Segmentation on Sentinel-1 SAR Imagery with Cyclical Pseudo Labeling and Noisy Student Training
Stars: ✭ 102 (+410%)
Mutual labels: semi-supervised-learning
ganbertEnhancing the BERT training with Semi-supervised Generative Adversarial Networks
Stars: ✭ 205 (+925%)
Mutual labels: semi-supervised-learning
pyprophetPyProphet: Semi-supervised learning and scoring of OpenSWATH results.
Stars: ✭ 23 (+15%)
Mutual labels: semi-supervised-learning
HybridNetPytorch Implementation of HybridNet: Classification and Reconstruction Cooperation for Semi-Supervised Learning (https://arxiv.org/abs/1807.11407)
Stars: ✭ 16 (-20%)
Mutual labels: semi-supervised-learning
semantic-parsing-dualSource code and data for ACL 2019 Long Paper ``Semantic Parsing with Dual Learning".
Stars: ✭ 17 (-15%)
Mutual labels: semi-supervised-learning
ssdg-benchmarkBenchmarks for semi-supervised domain generalization.
Stars: ✭ 46 (+130%)
Mutual labels: semi-supervised-learning
semi-memoryTensorflow Implementation on Paper [ECCV2018]Semi-Supervised Deep Learning with Memory
Stars: ✭ 49 (+145%)
Mutual labels: semi-supervised-learning
EC-GANEC-GAN: Low-Sample Classification using Semi-Supervised Algorithms and GANs (AAAI 2021)
Stars: ✭ 29 (+45%)
Mutual labels: semi-supervised-learning
deepOFTensorFlow implementation for "Guided Optical Flow Learning"
Stars: ✭ 26 (+30%)
Mutual labels: semi-supervised-learning
arrhythmia-ecg-analysis-aiArrhythmia Classification through Characteristics Extraction with Discrete Wavelet Transform & WEKA/MATLAB Supervised Training
Stars: ✭ 25 (+25%)
Mutual labels: weka
emotion-recognition-GANThis project is a semi-supervised approach to detect emotions on faces in-the-wild using GAN
Stars: ✭ 20 (+0%)
Mutual labels: semi-supervised-learning
DeepAtlasJoint Semi-supervised Learning of Image Registration and Segmentation
Stars: ✭ 38 (+90%)
Mutual labels: semi-supervised-learning
TeBaQAA question answering system which utilises machine learning.
Stars: ✭ 17 (-15%)
Mutual labels: weka
seededldaSemisupervided LDA for theory-driven text analysis
Stars: ✭ 46 (+130%)
Mutual labels: semi-supervised-learning
DualStudentCode for Paper ''Dual Student: Breaking the Limits of the Teacher in Semi-Supervised Learning'' [ICCV 2019]
Stars: ✭ 106 (+430%)
Mutual labels: semi-supervised-learning
