Awesome Python Data Science

Automated Machine Learning with scikit-learn

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

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.

Efficiently computes derivatives of NumPy code.

Deep Learning and Reinforcement Learning Library for Scientists and Engineers

A Python Package to Tackle the Curse of Imbalanced Datasets in 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 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.

Deep Reinforcement Learning for Keras.

Build Graph Nets in Tensorflow

cuML - RAPIDS Machine Learning Library

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 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.

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

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

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

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.