Framework

A framework for scientific computing in .NET covering numerical linear algebra, numerical optimization, statistics, machine learning, artificial neural networks, signal and image processing areas.

A C# framework for image processing, neural networks, and machine learning for the .NET Framework

A software framework for distributed storage that facilitates using a network of many computers to solve problems involving massive amounts of data and computation using MapReduce programming model

A framework for creating scalable machine learning algorithms, designed to handle big data processing across distributed computing environments

A deep learning software framework, used to train, and deploy deep neural networks

A distributed processing system utilized for big data workloads, supporting batch processing, stream processing and machine learning, with in-memory caching and optimized query execution for large datasets

A deep learning framework designed for expression, speed, and modularity

A distributed, deep learning library for Java virtual machine (JVM)

A data mining software written in Java, with focus on research in algorithms

A Java-based toolkit for machine learning applications on text

A framework for data stream mining including machine learning algorithms such as classification, regression, clustering, outlier detection, concept drift detection and recommender systems and tools for evaluation

A Python library for creating static, animated, and interactive visualizations in two dimensions.

A C++ machine learning library offering a wide range of algorithms and tools for researchers and developers, with focus on scalability, speed, and ease of use

A Python library for working with multidimensional arrays and performing array-based operations efficiently

Framework designed to build and explore artificial intelligence systems with human-like cognitive abilities

A comprehensive library for real-time computer vision tasks like object detection and image analysis

A C++ library for implementing neural networks for advanced analytics tasks in various fields.

Python library for data manipulation and analysis, providing data structures and operations for working with tabular data and time series

A python deep learning library based on Torch for building and training neural networks, used for applications in computer vision, natural language processing, and other areas

A SciPy based Python library for machine learning tasks like classification, regression, and clustering

A Python library for scientific computing in Python, covering optimization, integration, linear algebra, Fourier transforms, signal and image processing, ODE solvers, and more

A library for numerical computation using data flow graphs, enabling the creation and deployment of machine learning models

A framework for building deep learning models using computational graphs

A machine learning library and scientific computing framework for LuaJIT

A collection of machine learning algorithms and data analysis tools for data preprocessing, modeling, and visualization

A library for data mining, machine learning, soft computing, and mathematical analysis