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Finds accurate ML models automatically, efficiently and economically.
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Browse dated community launches and imported or editorial directory additions.
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Ignite your models into blazing-fast machine learning APIs with a modern framework.
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PyTorch Lightning extension that accelerates and enhances foundation model experimentation with flexible fine-tuning schedules.
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Secure zero-knowledge encrypted file sharing (AES-256-GCM in-browser). No account required, MIT licensed, self-hostable, optional link expiry.
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A Scala library for constructing probabilistic models.
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A highly-modular C++ machine learning library for embedded electronics and robotics.
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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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Python library for automated feature engineering.
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Set of tools for creating and testing machine learning features, with a scikit-learn compatible API.
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Feature engineering package with SKlearn like functionality.
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Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
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Feature store for machine learning.
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Industrial Grade Federated Learning Framework.
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FastEdit aims to assist developers with injecting fresh and customized knowledge into large language models efficiently using one single command.
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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 package to assess and improve fairness of machine learning models.
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Visualizations for understanding and analyzing machine learning datasets.
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Face recognition library that recognizes and manipulates faces from Python or from the command line.
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Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
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A library that builds, optimizes, and evaluates ML pipelines using domain-specific functions.
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Machine learning development environment for data science and AI/ML engineering teams.