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Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
PyTorch Lightning + Hydra. A very user-friendly template for ML experimentation. ⚡🔥⚡
| Date | Stars |
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| 2026-07-24 | 5322 |
| 2026-07-25 | 5322 |
| 2026-07-28 | 5322 |
| 2026-07-30 | 5322 |
| 2026-08-06 | 5322 |
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<div align="center"> # Lightning-Hydra-Template [](https://github.com/pre-commit/pre-commit) [](https://pytorch.org/get-started/locally/) [](https://pytorchlightning.ai/) [](https://hydra.cc/) [](https://black.readthedocs.io/en/stable/) [](https://pycqa.github.io/isort/) <br> [](https://github.com/ashleve/lightning-hydra-template/actions/workflows/test.yml) [](https://github.com/ashleve/lightning-hydra-template/actions/workflows/code-quality-main.yaml) [](https://codecov.io/gh/ashleve/lightning-hydra-template) <br> [](https://github.com/ashleve/lightning-hydra-template#license) [](https://github.com/ashleve/lightning-hydra-template/pulls) [](https://github.com/ashleve/lightning-hydra-template/graphs/contributors) A clean template to kickstart your deep learning project 🚀⚡🔥<br> Click on [<kbd>Use this template</kbd>](https://github.com/ashleve/lightning-hydra-template/generate) to initialize new repository. _Suggestions are always welcome!_ </div> <br> ## 📌 Introduction **Why you might want to use it:** ✅ Save on boilerplate <br> Easily add new models, datasets, tasks, experiments, and train on different accelerators, like multi-GPU, TPU or SLURM clusters. ✅ Education <br> Thoroughly commented. You can use this repo as a learning resource. ✅ Reusability <br> Collection of useful MLOps tools, configs, and code snippets. You can use this repo as a reference for various utilities. **Why you might not want to use it:** ❌ Things break from time to time <br> Lightning and Hydra are still evolving and integrate many libraries, which means sometimes things break. For the list of currently known problems visit [this page](https://github.com/ashleve/lightning-hydra-template/labels/bug). ❌ Not adjusted for data engineering <br> Template is not really adjusted for building data pipelines that depend on each other. It's more efficient to use it for model prototyping on ready-to-use data. ❌ Overfitted to simple use case <br> The configuration setup is built with simple lightning training in mind. You might need to put some effort to adjust it for different use cases, e.g. lightning fabric. ❌ Might not support your workflow <br> For example, you can't resume hydra-based multirun or hyperparameter search. > **Note**: _Keep in mind this is unofficial community project._ <br> ## Main Technologies [PyTorch Lightning](https://github.com/PyTorchLightning/pytorch-lightning) - a lightweight PyTorch wrapper for high-performance AI research. Think of it as a framework for organizing your PyTorch code. [Hydra](https://github.com/facebookresearch/hydra) - a framework for elegantly configuring complex applications. The key feature is the ability to dynamically create a hierarchical configuration by composition and override it through config files and the command line. <br> ## Main Ideas - [**Rapid Experimentation**](#your-superpowers): thanks to hydra command line superp
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Mattie Tesfaldet · McGill University, Mila, ex-Meta · Canada
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Alex Morehead · Lawrence Berkeley National Laboratory · United States
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Alexander Tong · Austria
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Zhenyu Jiang
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Yangyang Li · Northwestern University · United States
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Would you bet a product on this? Bounded 0–100 and slow moving.
matched fp:5d26f752b92250f5, topic:deep-learning, topic:pytorch
matched fp:5d26f752b92250f5, topic:mlops, readme:mlops