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Genetic Programming in Python, with a scikit-learn inspired API

A Python package for manipulating 2-dimensional tabular data structures

A flexible, intuitive and fast forecasting library

Python library for interactive topic model visualization. Port of the R LDAvis package.

Deep learning with dynamic computation graphs in TensorFlow

Interpretability and explainability of data and machine learning models

Clean PyTorch implementations of imitation and reward learning algorithms

A high performance Python graph library implemented in Rust.

Painlessly create beautiful matplotlib plots.

Python audio and music signal processing library

Lightweight and extensible compatibility layer between dataframe libraries!

An offline deep reinforcement learning library

A distributed task scheduler for Dask

Synthetic data generators for tabular and time-series data

Machine learning evaluation metrics, implemented in Python, R, Haskell, and MATLAB / Octave

Hyper-parameter optimization for sklearn

Hyperparameter Experiments with TensorFlow and Keras

Mesh TensorFlow: Model Parallelism Made Easier

Python implementations of the Boruta all-relevant feature selection method.

ThunderSVM: A Fast SVM Library on GPUs and CPUs

The Python ensemble sampling toolkit for affine-invariant MCMC

Keras community contributions

open-source feature selection repository in python

Distributed Deep learning with Keras & Spark

Spearmint Bayesian optimization codebase

Simple text to phones converter for multiple languages

TensorFlow GNN is a library to build Graph Neural Networks on the TensorFlow platform.

MLBox is a powerful Automated Machine Learning python library.

Python library for time series forecasting using scikit-learn compatible models, statistical methods, and foundation models

PySAL: Python Spatial Analysis Library Meta-Package