Awesome Python Data Science

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.

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 library of reinforcement learning components and agents

A Python package for interactive geospatial analysis and visualization with Google Earth Engine.

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

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

Fast, flexible and easy to use probabilistic modelling in Python.

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

Generate embeddings from large-scale graph-structured data.

Datetimes for Humans™

Accelerated deep learning R&D

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.

NumPy and Pandas interface to Big Data

The machine learning toolkit for time series analysis in Python

TensorFlow Reinforcement Learning

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

High performance, easy-to-use, and scalable machine learning (ML) package, including linear model (LR), factorization machines (FM), and field-aware factorization machines (FFM) for Python and CLI interface.

High performance datastore for time series and tick data

Shōgun

StellarGraph - Machine Learning on Graphs

TF-Agents: A reliable, scalable and easy to use TensorFlow library for Contextual Bandits and Reinforcement Learning.

PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models (CIKM 2021)

Deepnote is a drop-in replacement for Jupyter with an AI-first design, sleek UI, new blocks, and native data integrations. Use Python, R, and SQL locally in your favorite IDE, then scale to Deepnote cloud for real-time collaboration, Deepnote agent, and deployable data apps. https://deepnote.com/

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

With Holoviews, your data visualizes itself.

Data manipulation and transformation for audio signal processing, powered by PyTorch

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

Learning to Rank in TensorFlow