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Add training orchestration tool #307

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Jan 29, 2023
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Add training orchestration tool #307

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Update README.md
zhimin-z Jan 8, 2023
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Merge branch 'master' into Add-optimization-tools
zhimin-z Jan 29, 2023
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2 changes: 1 addition & 1 deletion README.md
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Expand Up @@ -418,7 +418,7 @@ This repository contains a curated list of awesome open source libraries that wi
* [H2O-3](https://github.com/h2oai/h2o-3) ![](https://img.shields.io/github/stars/h2oai/h2o-3.svg?style=social) - Fast scalable Machine Learning platform for smarter applications: Deep Learning, Gradient Boosting & XGBoost, Random Forest, Generalized Linear Modeling (Logistic Regression, Elastic Net), K-Means, PCA, Stacked Ensembles, Automatic Machine Learning (AutoML), etc..
* [Jax](https://github.com/google/jax) ![](https://img.shields.io/github/stars/google/jax.svg?style=social) - Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more.
* [Modin](https://github.com/modin-project/modin) ![](https://img.shields.io/github/stars/modin-project/modin.svg?style=social) - Speed up your Pandas workflows by changing a single line of code.
* [Speedster](https://github.com/nebuly-ai/nebullvm/tree/main/apps/accelerate/speedster) ![](https://img.shields.io/github/stars/nebuly-ai/nebullvm.svg?style=social) - Automatically apply SOTA optimization techniques to achieve the maximum inference speed-up on your hardware.
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Also, S-letter (Speedster) should not appear before N-letter (Numba), @axsaucedo what do you think?

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Yes that is correct, good catch

* [Nebullvm](https://github.com/nebuly-ai/nebullvm) ![](https://img.shields.io/github/stars/nebuly-ai/nebullvm.svg?style=social) - Nebullvm is an ecosystem of plug and play modules to boost the performances of your AI systems. The optimization modules are stack-agnostic and work with any library. They are designed to be easily integrated into your system, providing a quick and seamless boost to its performance.
* [Numba](https://github.com/numba/numba) ![](https://img.shields.io/github/stars/numba/numba.svg?style=social) - A compiler for Python array and numerical functions.
* [NumpyGroupies](https://github.com/ml31415/numpy-groupies) ![](https://img.shields.io/github/stars/ml31415/numpy-groupies.svg?style=social) Optimised tools for group-indexing operations: aggregated sum and more
* [OpenVINO™ integration with TensorFlow](https://github.com/openvinotoolkit/openvino_tensorflow) ![](https://img.shields.io/github/stars/openvinotoolkit/openvino_tensorflow.svg?style=social) - Highly optimized Neural Network inference with Tensorflow on Intel platforms by adding a single line of code.
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