Framework
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A framework for scientific computing in .NET covering numerical linear algebra, numerical optimization, statistics, machine learning, artificial neural networks, signal and image processing areas.
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A C# framework for image processing, neural networks, and machine learning for the .NET Framework
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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
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A framework for creating scalable machine learning algorithms, designed to handle big data processing across distributed computing environments
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A deep learning software framework, used to train, and deploy deep neural networks
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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
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A distributed, deep learning library for Java virtual machine (JVM)
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A data mining software written in Java, with focus on research in algorithms
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A Java-based toolkit for machine learning applications on text
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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
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A Python library for creating static, animated, and interactive visualizations in two dimensions.
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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
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A Python library for working with multidimensional arrays and performing array-based operations efficiently
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Framework designed to build and explore artificial intelligence systems with human-like cognitive abilities
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A comprehensive library for real-time computer vision tasks like object detection and image analysis
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A C++ library for implementing neural networks for advanced analytics tasks in various fields.
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Python library for data manipulation and analysis, providing data structures and operations for working with tabular data and time series
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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
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A SciPy based Python library for machine learning tasks like classification, regression, and clustering
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A Python library for scientific computing in Python, covering optimization, integration, linear algebra, Fourier transforms, signal and image processing, ODE solvers, and more
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A library for numerical computation using data flow graphs, enabling the creation and deployment of machine learning models
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A framework for building deep learning models using computational graphs
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A machine learning library and scientific computing framework for LuaJIT
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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