Extra blocks for scikit-learn pipelines.
- scikit-learn
- machine-learning
- common-sense
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Extra blocks for scikit-learn pipelines.
Image process framework based on plugin like imagej, it is esay to glue with scipy.ndimage, scikit-image, opencv, simpleitk, mayavi...and any libraries based on numpy
Transpile trained scikit-learn estimators and transformers to C, C#, Go, Java, JavaScript, PHP and Ruby.
PySpark + Scikit-learn = Sparkit-learn
A scikit-learn based module for multi-label et. al. classification
Combines the ease of use of scikit-learn with the power of Theano/Lasagne
Use evolutionary algorithms instead of gridsearch in scikit-learn
Simple finite element assemblers
Graph Algorithms
The world's cleanest AutoML library ✨ - Do hyperparameter tuning with the right pipeline abstractions to write clean deep learning production pipelines. Let your pipeline steps have hyperparameter spaces. Design steps in your pipeline like components. Compatible with Scikit-Learn, TensorFlow, and most other libraries, frameworks and MLOps environments.
Improved build system generator for CPython C, C++, Cython and Fortran extensions
Python package for Bayesian Machine Learning with scikit-learn API
Highly interpretable classifiers for scikit learn, producing easily understood decision rules instead of black box models
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.
Scikit-learn for Recursive Self-improvement (RSI). A modular framework for recursive harness evolution.
Python library for multilinear algebra and tensor factorizations
Multiple Pairwise Comparisons (Post Hoc) Tests in Python
Hyperparameter optimization and feature selection for scikit-learn using evolutionary algorithms. A modern alternative to GridSearchCV and RandomizedSearchCV.
A set of tools for creating and testing machine learning features, with a scikit-learn compatible API
Predicting price trends in cryptomarkets using an lstm-RNN for the use of a trading bot
Genetic feature selection module for scikit-learn
A Python module for time-frequency analysis
Relevance Vector Machine implementation using the scikit-learn API.