PySpark + Scikit-learn = Sparkit-learn
created at Oct. 15, 2014, 2:01 p.m.
Mesh TensorFlow: Model Parallelism Made Easier
created at Sept. 20, 2018, 8:23 p.m.
Python implementations of the Boruta all-relevant feature selection method.
created at Jan. 30, 2016, 4:25 p.m.
Deep learning with dynamic computation graphs in TensorFlow
created at Jan. 18, 2017, 5:45 p.m.
Hyper-parameter optimization for sklearn
created at Feb. 19, 2013, 4:09 p.m.
MLBox is a powerful Automated Machine Learning python library.
created at June 1, 2017, 4:59 p.m.
Visualize and compare datasets, target values and associations, with one line of code.
created at May 9, 2020, 3:25 p.m.
TensorFlow Recommenders is a library for building recommender system models using TensorFlow.
created at June 26, 2020, 9:38 p.m.
Model analysis tools for TensorFlow
created at March 23, 2018, 7:08 p.m.
Genetic Programming in Python, with a scikit-learn inspired API
created at March 26, 2015, 1:01 a.m.
Lightning ⚡️ fast forecasting with statistical and econometric models.
created at Nov. 24, 2021, 2:19 a.m.
An intuitive library to add plotting functionality to scikit-learn objects.
created at Feb. 4, 2017, 6:22 a.m.
Automatic architecture search and hyperparameter optimization for PyTorch
created at Nov. 30, 2018, 8:18 a.m.
Supply a wrapper ``StockDataFrame`` based on the ``pandas.DataFrame`` with inline stock statistics/indicators support.
created at June 5, 2016, 3:21 p.m.
Interpretability and explainability of data and machine learning models
created at July 11, 2019, 7:17 a.m.
A toolkit for reproducible reinforcement learning research.
created at June 10, 2018, 9:31 p.m.
A light-weight, flexible, and expressive statistical data testing library
created at Nov. 1, 2018, 2:18 a.m.