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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.
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Finds accurate ML models automatically, efficiently and economically.
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Dynamic Tensor Graph library in Clojure (think PyTorch, DynNet, etc.).
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Running large language models on a single GPU for throughput-oriented scenarios. (Archived).
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Easy-to-use and flexible AutoML library for Python.
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Friendly Federated Learning Framework.
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Drag & drop UI to build your customized LLM flow using LangchainJS.
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Library for high performance deep learning inference on NVIDIA GPUs.
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Memory-based NLP suite developed for Dutch: PoS tagger, lemmatiser, dependency parser, NER, shallow parser, morphological analyzer.
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Julia package for Gaussian processes.
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A curated list of generative deep learning tools, works, models, etc. for artistic uses, by @filipecalegario.
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A Chinese segment based on Conditional Random Field.
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Testing framework dedicated to ML models, from tabular to LLMs. Detect risks of biases, performance issues and errors in 4 lines of code.