Machine Learning (ML) Libraries
- 01. NumPy library is the go-to Python library for scientific computation, handling multi-dimensional array and matrix operations.
- 02. pandas is a fast, powerful, flexible and easy to use open source data analysis and manipulation tool, built on top of the Python programming language.
- 03. SciPy provides algorithms for optimization, integration, interpolation, eigenvalue problems, algebraic equations, differential equations, statistics, etc.
- 04. scikit-learn - Machine Learning in Python
- 05. TensorFlow is an end-to-end open source platform for machine learning.
- 06. Keras - Enabling Exascale machine learning. Built on top of TensorFlow 2, Keras is an industry-strength framework that can scale to large clusters of GPUs or an entire TPU pod.
- 07. PyTorch - An open source machine learning framework that accelerates the path from research prototyping to production deployment.
- 08. Natural Language Toolkit (NLTK) is a leading platform for building Python programs to work with human language data.
- 09. Danfo.js is an open-source, JavaScript library providing high-performance, intuitive, and easy-to-use data structures for manipulating and processing structured data.
- 10. The Microsoft Cognitive Toolkit (CNTK) is an open-source toolkit for commercial-grade distributed deep learning.