Python implementation of the rulefit algorithm
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scikit-learn inspired API for CRFsuite
A scikit-learn-compatible Python implementation of ReBATE, a suite of Relief-based feature selection algorithms for Machine Learning.
- feature-selection
- data-science
- python
A Naive Bayes machine learning implementation in Elixir.
- naive-bayes-classifier
- bayes
- machine-learning
- classifier
A set of tools for creating and testing machine learning features, with a scikit-learn compatible API
Trident-ML : A realtime online machine learning library
Artificial intelligence/machine learning data structures and Swift algorithms for future iOS development. bayes theorem, neural networks, and more AI.
- swift
- swift-brain
- neural-network
A unified framework for tabular probabilistic regression, time-to-event prediction, and probability distributions in python
- python
- sklearn
- data-science
- framework
Genetic feature selection module for scikit-learn
Current version of the SuperLearner R package
A tensorflow implementation of an HMM layer
- tensorflow
- tensorflow-hmm
- viterbi
- hmm
Common Lisp Machine Learning Library
A distributed Spark/Scala implementation of the isolation forest and extended isolation forest algorithms for unsupervised outlier detection, featuring support for scalable training and ONNX export for easy cross-platform inference.
- isolation-forest
- spark
- outlier-detection
zoofs is a python library for performing feature selection using a variety of nature-inspired wrapper algorithms. The algorithms range from swarm-intelligence to physics-based to Evolutionary. It's easy to use , flexible and powerful tool to reduce your feature size.
- machine-learning
- python
- evolutionary-algorithms
- genetic-algorithm
Python-based implementations of algorithms for learning on imbalanced data.
- data-science
- machine-learning
- imbalanced-data
- notre-dame
Relevance Vector Machine implementation using the scikit-learn API.
A fast xgboost feature selection algorithm
- machine-learning
- machine-learning-algorithms
- feature-selection
- xgboost-algorithm
Stacked Generalization (Ensemble Learning)
- stacking
- ensemble-learning
- scikit-learn
- xgboost
inference and machine learning in clojure
A Genetic Programming platform for Python with TensorFlow for wicked-fast CPU and GPU support.
A robust, full-featured Ruby implementation of Naive Bayes
A machine learning library for Clojure built on top of Weka and friends
A sklearn-compatible Python implementation of Multifactor Dimensionality Reduction (MDR) for feature construction.
Library for machine learning stacking generalization.