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google-research
spade-anomaly-detection

Semi-supervised Pseudo Labeler Anomaly Detection with Ensembling (SPADE) is a semi-supervised anomaly detection method that uses an ensemble of one class classifiers as the pseudo-labelers and supervised classifiers to achieve state of the art results especially on datasets with distribution mismatch between labeled and unlabeled samples.

890 52 3
ModSSC
modssc

ModSSC: A Modular Framework for Semi Supervised Classification

833 32 7
jlgarridol
sslearn

The sslearn library is a Python package for machine learning over Semi-supervised datasets. It is an extension of scikit-learn.

493 9 3
rosefun
semisupervised

Semi supervised learning framework of Python.

464 21 5
calico
scnym

Semi supervised adversarial network networks for single cell classification

246 78 13
caiocarneloz
pypcc

Python code for the semi-supervised learning method particle competition and cooperation

237 6 1
caiocarneloz
semis

Semi-supervised learning methods

96 6 1
caiocarneloz
masksemi

Code for converting a label list in a scikit-like semi-supervised label list.

38 1 0
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