Awesome Python Data Science

Scalable and user friendly neural :brain: forecasting algorithms.

N-D labeled arrays and datasets in Python

Deepchecks: Tests for Continuous Validation of ML Models & Data. Deepchecks is a holistic open-source solution for all of your AI & ML validation needs, enabling to thoroughly test your data and models from research to production.

A highly efficient implementation of Gaussian Processes in PyTorch

OpenDILab Decision AI Engine. The Most Comprehensive Reinforcement Learning Framework B.P.

Bayesian optimization in PyTorch

Models, data loaders and abstractions for language processing, powered by PyTorch

A standard API for multi-agent reinforcement learning environments, with popular reference environments and related utilities

Tensorforce: a TensorFlow library for applied reinforcement learning

Python Toolkit for Causal and Probabilistic Reasoning

PennyLane is an open-source quantum software platform for quantum computing, quantum machine learning, and quantum chemistry. Create meaningful quantum algorithms, from inspiration to implementation.

The machine learning toolkit for time series analysis in Python

Visualize and compare datasets, target values and associations, with one line of code.

High performance datastore for time series and tick data

NSGA2, NSGA3, R-NSGA3, MOEAD, Genetic Algorithms (GA), Differential Evolution (DE), CMAES, PSO

Pandas integration with sklearn

A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and algorithms to mitigate bias in datasets and models.

Sequential model-based optimization with a `scipy.optimize` interface

POT : Python Optimal Transport

A library for debugging/inspecting machine learning classifiers and explaining their predictions

Algorithms for explaining machine learning models

Apache Hamilton helps data scientists and engineers define testable, modular, self-documenting dataflows, that encode lineage/tracing and metadata. Runs and scales everywhere python does.

Automatic architecture search and hyperparameter optimization for PyTorch

Algorithms for outlier, adversarial and drift detection

Fast numerical array expression evaluator for Python, NumPy, Pandas, PyTables and more

An intuitive library to add plotting functionality to scikit-learn objects.

Feature engineering and selection open-source Python library compatible with sklearn.

Open-source low code data preparation library in python. Collect, clean and visualization your data in python with a few lines of code.

Natural Gradient Boosting for Probabilistic Prediction

Python audio and music signal processing library

Mesh TensorFlow: Model Parallelism Made Easier

Keras community contributions

PySAL: Python Spatial Analysis Library Meta-Package

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

OpenMMLab Foundational Library for Training Deep Learning Models

No-code in the front, Python in the back. An open-source framework for creating data apps.

Transpile trained scikit-learn estimators to C, Java, JavaScript and others.

Scalable machine 🤖 learning for time series forecasting.

:chart_with_upwards_trend: Adaptive: parallel active learning of mathematical functions

Fast NumPy array functions written in C

Modular Reinforcement Learning (RL) library (implemented in PyTorch, JAX, and NVIDIA Warp) with support for Gymnasium/Gym, NVIDIA Isaac Lab, MuJoCo Playground and other environments

[CONTRIBUTORS WELCOME] Generalized Additive Models in Python

A scikit-learn based module for multi-label et. al. classification

python partial dependence plot toolbox

Library for exploring and validating machine learning data

ML powered analytics engine for outlier detection and root cause analysis.

Easy pipelines for pandas DataFrames.

Python package for stacking (machine learning technique)

A Free and Open Source Python Library for Multiobjective Optimization

QKeras: a quantization deep learning library for Tensorflow Keras