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Scalable deep learning for industry with parallel GPUs.
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Conversational AI library with many pre-trained Russian NLP models.
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Deep learning optimization library that makes distributed training easy, efficient, and effective.
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An open source machine learning framework in Rust Δ.
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Train and run a computer vision model with 5-10 lines of code.
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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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A Python library to remove unwanted pseudo-text from images generated by your favorite generative AI models (Stable Diffusion, Midjourney, DALL·E).
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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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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.