NumPy
The go-to Python library for scientific computation, handling multi-dimensional array and matrix operations.
Visit sitepandas
A fast, powerful, flexible and easy to use open source data analysis and manipulation tool, built on top of Python.
Visit siteSciPy
Provides algorithms for optimization, integration, interpolation, eigenvalue problems, algebraic equations, differential equations, statistics, and more.
Visit sitescikit-learn
Simple and efficient tools for predictive data analysis, built on NumPy, SciPy, and matplotlib — machine learning in Python.
Visit siteTensorFlow
An end-to-end open source platform for machine learning, with a flexible ecosystem of tools, libraries, and community resources.
Visit siteKeras
A deep learning API designed for human beings. Multi-backend support for JAX, TensorFlow, and PyTorch, built for debugging speed and code elegance.
Visit sitePyTorch
An open source machine learning framework that accelerates the path from research prototyping to production deployment.
Visit siteNatural Language Toolkit (NLTK)
A leading platform for building Python programs to work with human language data, with interfaces to over 50 corpora and lexical resources.
Visit siteDanfo.js
An open-source JavaScript library providing high-performance, intuitive, and easy-to-use data structures for manipulating and processing structured data, inspired by pandas.
Visit siteMicrosoft Cognitive Toolkit (CNTK)
An open-source toolkit for commercial-grade distributed deep learning, describing neural networks as a series of computational steps via a directed graph.
Visit site