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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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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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A deep learning-based translation library between 50 languages, built with transformers.
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Scala Library/REPL for Machine Learning Research.
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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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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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Industrial Grade Federated Learning Framework.
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Feature store for machine learning.
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Set of tools for creating and testing machine learning features, with a scikit-learn compatible API.
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A highly-modular C++ machine learning library for embedded electronics and robotics.
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Ignite your models into blazing-fast machine learning APIs with a modern framework.
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This basically to gauge the understanding of Machine Learning Workflow and Regression technique in specific.
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Friendly Federated Learning Framework.
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Library for high performance deep learning inference on NVIDIA GPUs.
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An open source Python library for drift detection in machine learning systems.
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Unsupervised machine learning with multivariate Gaussian mixture model.
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A curated list of generative deep learning tools, works, models, etc. for artistic uses, by @filipecalegario.
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Fast and convenient feature processing for low latency machine learning in Go.