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MegEngine is a fast, scalable and easy-to-use deep learning framework, with auto-differentiation.
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Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
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A platform for deploying and serving machine learning models.
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Flexible Deep Learning Framework in Julia.
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Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
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An open source robotics benchmark for meta- and multi-task reinforcement learning.
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Neural networks (boltzmann machines, feed-forward and recurrent nets), Gaussian Processes.
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A distributed machine learning framework Apache Spark.
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MindSpore is a new open source deep learning training/inference framework that could be used for mobile, edge and cloud scenarios.
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Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
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A minimal, educational, Pythonic implementation of autograd (~100 loc).
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An asynchronous engine for continuous & autonomous machine learning, built for real-time usage.
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Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
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A Repository Containing Classification, Clustering, Regression, Recommender Notebooks with illustration to make them.
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Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
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All-in-one web-based IDE specialized for machine learning and data science.
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Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
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Machine learning and numerical analysis tools for Node.js and the Browser!
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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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Friendly machine learning for the web!
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A set of functions to support the development of machine learning algorithms.
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Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
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Lightweight ML utility for automated training, evaluation, and prediction with CLI and Python API support.