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Natural Gradient Boosting for Probabilistic Prediction

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

Clean PyTorch implementations of imitation and reward learning algorithms

Interpretability and explainability of data and machine learning models

A high performance Python graph library implemented in Rust.

Python audio and music signal processing library

Lightweight and extensible compatibility layer between dataframe libraries!

Painlessly create beautiful matplotlib plots.

A distributed task scheduler for Dask

An offline deep reinforcement learning library

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

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

Mesh TensorFlow: Model Parallelism Made Easier

ThunderSVM: A Fast SVM Library on GPUs and CPUs

The Python ensemble sampling toolkit for affine-invariant MCMC

open-source feature selection repository in python

Keras community contributions

Spearmint Bayesian optimization codebase

Distributed Deep learning with Keras & Spark

Simple text to phones converter for multiple languages

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

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

MLBox is a powerful Automated Machine Learning python library.

PySAL: Python Spatial Analysis Library Meta-Package