CUHKSZ-NING

pyod

A Python Library for Outlier and Anomaly Detection, Integrating Classical and Deep Learning Techniques

BayesianOptimization

A Python implementation of global optimization with gaussian processes.

auto-sklearn

Automated Machine Learning with scikit-learn

awesome-semantic-segmentation-pytorch

Semantic Segmentation on PyTorch (include FCN, PSPNet, Deeplabv3, Deeplabv3+, DANet, DenseASPP, BiSeNet, EncNet, DUNet, ICNet, ENet, OCNet, CCNet, PSANet, CGNet, ESPNet, LEDNet, DFANet)

alibi-detect

Algorithms for outlier, adversarial and drift detection

auto_ml

[UNMAINTAINED] Automated machine learning for analytics & production

boruta_py

Python implementations of the Boruta all-relevant feature selection method.

openTSNE

Extensible, parallel implementations of t-SNE

metric-learn

Metric learning algorithms in Python

iterative-stratification

scikit-learn cross validators for iterative stratification of multilabel data

morphsnakes

Morphological snakes for image segmentation and tracking

abess

Fast Best-Subset Selection Library

pytorch-unsupervised-segmentation

Wrapper-Feature-Selection-Toolbox-Python

This toolbox offers 13 wrapper feature selection methods (PSO, GA, GWO, HHO, BA, WOA, and etc.) with examples. It is simple and easy to implement.

imbalanced-algorithms

Python-based implementations of algorithms for learning on imbalanced data.

highdimensional-decision-boundary-plot

Estimating and plotting the decision boundary (decision surface) of machine learning classifiers in higher dimensions (scikit-learn compatible)

LAMDA-SSL

30 Semi-Supervised Learning Algorithms

multi-imbalance

Python package for tackling multi-class imbalance problems. http://www.cs.put.poznan.pl/mlango/publications/multiimbalance/

pseudo_labeling_small_datasets

Pseudo Labeling for Neural Networks and Logistic Regression/SVMs ( Based on "Pseudo-Label : The Simple and Efficient Semi-Supervised Learning Method for Deep Neural Networks")

ucipp

UCI++: A huge collection of preprocessed datasets for supervised classification problems in ARFF format

Representation-based-Multilabel-Learning

Representation based multi label classification with many labels

multilabel-learn

multilabel-learn: Multilabel-Classification Algorithms

multilabelMetrics

Metrics for measuring our multilabel model

sloe-logistic

Boomer

A scikit-learn implementation of BOOMER - An Algorithm for Learning Gradient Boosted Multi-label Classification Rules

TnTDecisionGraph

HUE

Hashing-Based Undersampling Ensemble for Imbalanced Pattern Classification Problems

infinite-selection

Infinite Feature Selection (Roffo et al)

SPISEClassifier

LoRAS

Localized Randomized Affine Shadowsampling (LoRAS) oversampling technique