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Deep learning in Rust, with shape checked tensors and neural networks.
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Frankensteinian amalgamation of notebooks, models and techniques for the generation of AI Art and Animations.
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A deep learning-based translation library between 50 languages, built with transformers.
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Databricks’ Dolly, a large language model trained on the Databricks Machine Learning Platform.
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Many useful features that aren't part of the main nn package.
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Python library for scalable Bayesian optimisation.
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Reading Wikipedia to answer open-domain questions.
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High performance library for time series distances (DTW) and time series clustering.
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Design and Deploy Large Language Model Apps.
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Data Version Control - Git for Data & Models - ML Experiments Management.
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Python library for experiment metrics logging into simply formatted local files.
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Scala Library/REPL for Machine Learning Research.
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An evolutionary optimization library.
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Deep learning operations reinvented (for pytorch, tensorflow, jax and others).
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A simple and functional machine learning library written in Elixir.
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Machine learning development environment for data science and AI/ML engineering teams.
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A library that builds, optimizes, and evaluates ML pipelines using domain-specific functions.
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Interactive reports to analyze ML models during validation or production monitoring.
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Face recognition library that recognizes and manipulates faces from Python or from the command line.
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Foundational Models for State-of-the-Art Speech and Text Translation.
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Visualizations for understanding and analyzing machine learning datasets.
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Industrial Grade Federated Learning Framework.
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Feature store for machine learning.
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Feature engineering package with SKlearn like functionality.