Awesome Python Data Science

A Python implementation of global optimization with gaussian processes.

Out-of-Core hybrid Apache Arrow/NumPy DataFrame for Python, ML, visualization and exploration of big tabular data at a billion rows per second 🚀

Python library for audio and music analysis

Automated Machine Learning with scikit-learn

tensorboard for pytorch (and chainer, mxnet, numpy, ...)

Evidently is ​​an open-source ML and LLM observability framework. Evaluate, test, and monitor any AI-powered system or data pipeline. From tabular data to Gen AI. 100+ metrics.

An open source python library for automated feature engineering

Distributed Asynchronous Hyperparameter Optimization in Python

Qiskit is an open-source SDK for working with quantum computers at the level of extended quantum circuits, operators, and primitives.

Deep Learning and Reinforcement Learning Library for Scientists and Engineers

Flax is a neural network library for JAX that is designed for flexibility.

Fit interpretable models. Explain blackbox machine learning.

A Python scikit for building and analyzing recommender systems

Genetic Algorithm, Particle Swarm Optimization, Simulated Annealing, Ant Colony Optimization Algorithm,Immune Algorithm, Artificial Fish Swarm Algorithm, Differential Evolution and TSP(Traveling salesman)

Image processing in Python

Distributed Evolutionary Algorithms in Python

A Neural Net Training Interface on TensorFlow, with focus on speed + flexibility

A scikit-learn compatible neural network library that wraps PyTorch

A system for quickly generating training data with weak supervision

Uplift modeling and causal inference with machine learning algorithms

MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion and visualization. Convert models between Caffe, Keras, MXNet, Tensorflow, CNTK, PyTorch Onnx and CoreML.

mlpack: a fast, header-only C++ machine learning library

Deep Reinforcement Learning for Keras.

Build Graph Nets in Tensorflow

Python tools for geographic data

A library of extension and helper modules for Python's data analysis and machine learning libraries.

Image augmentation library in Python for machine learning.

A Python implementation of LightFM, a hybrid recommendation algorithm.

Python framework for creating, editing, and running Noisy Intermediate-Scale Quantum (NISQ) circuits.

Lightning ⚡️ fast forecasting with statistical and econometric models.

High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.

A collection of infrastructure and tools for research in neural network interpretability.

A unified, comprehensive and efficient recommendation library

A light-weight, flexible, and expressive statistical data testing library

Visual analysis and diagnostic tools to facilitate machine learning model selection.

Sacred is a tool to help you configure, organize, log and reproduce experiments developed at IDSIA.

Performance analysis of predictive (alpha) stock factors

Missing data visualization module for Python.

Scalable and user friendly neural :brain: forecasting algorithms.

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 library of reinforcement learning components and agents

A highly efficient implementation of Gaussian Processes in PyTorch

Vizro is a low-code toolkit for building high-quality data visualization apps.

a library for audio and music analysis

A platform for Reasoning systems (Reinforcement Learning, Contextual Bandits, etc.)

Plotting library for IPython/Jupyter notebooks

Python library that makes it easy for data scientists to create charts.

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

C++ library for audio and music analysis, description and synthesis, including Python bindings

Bayesian optimization in PyTorch