Artificial Intelligence
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 machine learning system for the end-to-end data science lifecycle, encompassing data integration, cleaning, feature engineering, efficient model training, and deployment.
A deep learning framework designed for expression, speed, and modularity
A distributed, deep learning library for Java virtual machine (JVM)
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 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
Framework designed to build and explore artificial intelligence systems with human-like cognitive abilities
A C++ library for implementing neural networks for advanced analytics tasks in various fields.
A component-based visual programming software package for data visualization, machine learning, data mining, and data analysis
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 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