CUHKSZ-NING's starred repositories
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
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
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)
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")
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
infinite-selection
Infinite Feature Selection (Roffo et al)