Genetic Programming in Python, with a scikit-learn inspired API
created at March 26, 2015, 1:01 a.m.
Interpretability and explainability of data and machine learning models
created at July 11, 2019, 7:17 a.m.
Natural Gradient Boosting for Probabilistic Prediction
created at June 21, 2018, 10:22 p.m.
Painlessly create beautiful matplotlib plots.
created at July 18, 2013, 2:39 p.m.
Deep learning with dynamic computation graphs in TensorFlow
created at Jan. 18, 2017, 5:45 p.m.
TensorFlow Recommenders is a library for building recommender system models using TensorFlow.
created at June 26, 2020, 9:38 p.m.
2-2000x faster ML algos, 50% less memory usage, works on all hardware - new and old.
created at Aug. 27, 2018, 4 p.m.
Hamilton helps data scientists and engineers define testable, modular, self-documenting dataflows, that encode lineage/tracing and metadata. Runs and scales everywhere python does.
created at Feb. 23, 2023, 5:16 p.m.
A toolkit for reproducible reinforcement learning research.
created at June 10, 2018, 9:31 p.m.
Source code of PyGAD, a Python 3 library for building the genetic algorithm and training machine learning algorithms (Keras & PyTorch).
created at Dec. 11, 2018, 11:19 a.m.
Feature engineering package with sklearn like functionality
created at Dec. 31, 2018, 1:47 a.m.