Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a toolkit of libraries (Ray AIR) for accelerating ML workloads.
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Updated
Jun 27, 2023 - Python
Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a toolkit of libraries (Ray AIR) for accelerating ML workloads.
MindsDB is a Server for Artificial Intelligence Logic. Enabling developers to ship to production AI powered projects (from the latest LLMs, vector operations, state of the art time-series forecasting to Machine Learning) in a fast and scalable way.
An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
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AutoML library for deep learning
Automated Machine Learning with scikit-learn
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Google Brain AutoML
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Differentiable architecture search for convolutional and recurrent networks
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Fast and flexible AutoML with learning guarantees.
a delightful machine learning tool that allows you to train, test, and use models without writing code
Merlion: A Machine Learning Framework for Time Series Intelligence
ZenML
An Automatic Model Compression (AutoMC) framework for developing smaller and faster AI applications.
A Hyperparameter Tuning Library for Keras
Lightning ⚡️ fast forecasting with statistical and econometric models.
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