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OneFlow is a performance-centered and open-source deep learning framework.
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An ONNX (Open Neural Network eXchange) API and backend for typeful, functional deep learning in Scala (3).
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Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
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Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
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Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
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Examples and guides for using the OpenAI API.
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Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
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Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
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Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
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A Python-inspired implementation of the Optimum-Path Forest classifier.
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Lambda Architecture Framework using Apache Spark and Apache Kafka with a specialization for real-time large-scale machine learning.
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Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
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Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
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Machine Learning Framework from Industrial Practice.
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Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
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Parris, the automated infrastructure setup tool for machine learning algorithms.
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A web mining module for the Python programming language. It has tools for natural language processing, machine learning, among others.
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Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
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A complete object-oriented environment for machine learning in Matlab.
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Swift Language Bindings of TensorFlow. Using native TensorFlow models on both macOS / Linux.
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Enables single machine or distributed training and evaluation of deep learning models.
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A JavaScript application framework for machine learning and its engineering.
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Hidden Markov Models for Python, implemented in Cython for speed and efficiency.
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A library for machine learning that builds predictions using a linear regression.