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Train and run a computer vision model with 5-10 lines of code.
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Published directory entries matching your search.
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Scalable deep learning training platform with integrated hyperparameter tuning support; includes Hyperband, PBT, and other search methods.
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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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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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Design and Deploy Large Language Model Apps.
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Python library for experiment metrics logging into simply formatted local files.
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) - reference implementation of a DVM (Data Vending Machine) backend
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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 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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Open-source project that supports deploying, serving, monitoring, or operating AI and machine-learning systems.
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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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Industrial Grade Federated Learning Framework.
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Feature engineering package with SKlearn like functionality.
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Python library for automated feature engineering.
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A Scala library for constructing probabilistic models.
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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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PyTorch Lightning extension that accelerates and enhances foundation model experimentation with flexible fine-tuning schedules.