Kaggle inspired classifiers with sklearn type of API.
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Updated
May 13, 2016 - Python
Kaggle inspired classifiers with sklearn type of API.
OCR of Natural Photos using Machine-Learning techniques (based on Python sklearn toolkit)
Wrapper which provides scikit-learn-compatible implementation of SkNN sequence labeling algorithm
Common utility methods and classes to ease the work with sklearn, spacy, pandas, matplotlib
Bleeding Edge machine learning algorithms
Sklearn compatible stacking classifier.
ParALleL frAmework for moDel selectIOn
Naive Bayes machine-learning classifiers for embedded systems
🐍 Extending sklearn LabelEncoder to handle sequences of labels
Scale a variable into an open interval (0,1) whereas values within a given lower and upper percentile maintain a linear relation, and outlier saturate towards the interval limits.
thermometer encoding with sklearn interface
One-Hot encoder with sklearn-ish API interface that process mixed string and numeric labels directly.
Simulated annealing for feature selection
Time series features creation
additional wrapper and classes for sklearn's pipeline API
A simple template of a Python API (web-service) for real-time Machine Learning predictions, using scikitlearn-like models, Flask and Docker.
Python package providing an anomaly (outlier and novelty) detector based on the empirical Christoffel function.
combination of EvalML with Rapids for the WiDS 2021 competition
Feature engineering sklearn transformer for dates
Unofficial but extremely useful Label and One Hot encoders.
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