Hamilton helps data scientists and engineers define testable, modular, self-documenting dataflows, that encode lineage and metadata. Runs and scales everywhere python does.
created at Feb. 23, 2023, 5:16 p.m.
Add built-in support for quaternions to numpy
created at Dec. 11, 2014, 10:59 p.m.
ThunderGBM: Fast GBDTs and Random Forests on GPUs
created at Nov. 11, 2016, 9:58 a.m.
ML powered analytics engine for outlier detection and root cause analysis.
created at May 27, 2021, 8:13 a.m.
A set of tools for creating and testing machine learning features, with a scikit-learn compatible API
created at Feb. 17, 2014, 5:21 p.m.
Genetic feature selection module for scikit-learn
created at June 9, 2016, 3:19 p.m.
Highly interpretable classifiers for scikit learn, producing easily understood decision rules instead of black box models
created at Feb. 23, 2016, 5:31 a.m.
Relevance Vector Machine implementation using the scikit-learn API.
created at Aug. 2, 2015, 4:04 p.m.
A scikit-learn-compatible Python implementation of ReBATE, a suite of Relief-based feature selection algorithms for Machine Learning.
created at Sept. 19, 2016, 1:36 p.m.
ML hyperparameters tuning and features selection, using evolutionary algorithms.
created at Jan. 18, 2020, 7:16 p.m.
Scalable machine 🤖 learning for time series forecasting.
created at April 26, 2021, 8:58 p.m.
No-code in the front, Python in the back. An open-source framework for creating data apps.
created at Feb. 17, 2022, 9:10 p.m.