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Deep learning in Rust, with shape checked tensors and neural networks.
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The Deep Learning GPU Training System (DIGITS) is a web application for training deep learning models.
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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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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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Python library for decision tree visualization and model interpretation.
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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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DVMCP is a bridge implementation that connects Model Context Protocol (MCP) servers to Nostr's Data Vending Machine ecosystem
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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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Python package which helps to debug machine learning classifiers and explain their predictions.
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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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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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A Python package to assess and improve fairness of machine learning models.
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FastEdit aims to assist developers with injecting fresh and customized knowledge into large language models efficiently using one single command.