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Natural Gradient Boosting for Probabilistic Prediction
A flexible, intuitive and fast forecasting library
Genetic Programming in Python, with a scikit-learn inspired API
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
Painlessly create beautiful matplotlib plots.
A high performance Python graph library implemented in Rust.
A distributed task scheduler for Dask
An offline deep reinforcement learning library
Machine learning evaluation metrics, implemented in Python, R, Haskell, and MATLAB / Octave
Python audio and music signal processing library
Hyper-parameter optimization for sklearn
Synthetic data generators for tabular and time-series data
Hyperparameter Experiments with TensorFlow and Keras
Lightweight and extensible compatibility layer between dataframe libraries!
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
Keras community contributions
Distributed Deep learning with Keras & Spark
open-source feature selection repository in python
Spearmint Bayesian optimization codebase
Simple text to phones converter for multiple languages
MLBox is a powerful Automated Machine Learning python library.
TensorFlow GNN is a library to build Graph Neural Networks on the TensorFlow platform.
PySAL: Python Spatial Analysis Library Meta-Package
Python library for time series forecasting using scikit-learn compatible models, statistical methods, and foundation models