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Hydra is active again.
After a long quiet period, the project has moved from Meta stewardship to an independent home in the Hydra Ecosystem organization. Work on Hydra 1.4 is underway.
Read about Hydra's next chapter:
hydra.cc/blog/2026/08/13/ind…
Hydra 1.2 is released!
- Improved support for multirun, experiment management, and reproducing runs
- Improved instantiate API
- More typing support via OmegaConf 2.2
and more!
Please check out the post here to learn more: hydra.cc/blog/2022/05/18/Hyd…
Hydra 1.1 is out!
- Any config can now have a Defaults List
- Recursive object instantiation
- Relative and nested interpolations
- Experimental Callback API
And much more!
Check out the blog post:
hydra.cc/blog/2021/06/13/Hyd…
Awesome Hydra tutorial from @s_scardapane, check it out touching some of the new goodies in the upcoming Hydra 1.1.
*Learning Hydra for configuring ML experiments*
I wrote a lengthy tutorial on using @Hydra_Framework in #machinelearning experiments.
I go from basic configuration to advanced use-cases, including instantiating a model directly and validating the schema. 👇
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Hydra 1.1 first release candidate is out!
- OmegaConf 2.1 (relative and nested interpolation)
- Every config can now have a Defaults List.
- Recursive object instantiation
Check out the release notes:
github.com/facebookresearch/…
Lightning-transformers is an awesome new library from the folks at @gridai_ combining Hydra, @huggingface's transformers and @PyTorchLightnin to form a super flexible transformers framework.
We love #HuggingFace Transformers. Wonder how you can train them with the advanced Lightning Trainer options?
Lightning Transformers offers ready-to-go #Hydra configs for tasks and datasets, no boilerplate required, powered by Lightning.⚡
Learn More: bit.ly/3sDScW3
Check out the blog post by @tousifsays: He is using Hydra to compose a config for Vivado- a hardware design tool - instead of having to manually draw in the GUI or write XML configs.
reconfig.dev/yaml-based-viva…
Exciting to see Hydra used in the Hardware design space.
Join us on the PyTorch Ecosystem Day on April 21, 2021 and learn more about how Hydra helps simplify your code and workflow!
In addition to poster sessions, we will also host a breakout room on 9:50AM- 10:30AM PST!
Register: pytorchecosystemday.fbreg.co…
#PTED21
A great blog post by @samscub, showcasing how he is deploying his research code with Hydra, Ray and Docker.
I wrote a blog post about deploying research code to the cloud without having to write boilerplate or learn some new framework. It's based on @Hydra_Framework and the corresponding @raydistributed plugin, and I love it!
samuelstanton.github.io/blog…
Hydra retweeted
You can configure and Scale ML with @Hydra_Framework and Ray on AWS or local Ray clusters.
Blog Post: medium.com/distributed-compu…
ML Best practices 101.
Excited to present "Establishing a Productive DS & ML Workflow" this Wednesday from 6-7:30pm (EST)! Come if you're interested in learning more about best practices for experiment configuration (@Hydra_Framework), productivity tools, and more!
Syllabus: hackthenorth.com/syllabuses/….
We are adding a Ray (@raydistributed) Launcher to Hydra's Launcher family! With the new Launcher, you can launch your applications to an AWS or local Ray cluster. Please check out the blog post: hydra.cc/blog/2020/12/22/Hyd…
Hydra and OmegaConf featured in the top 10 Python libraries of 2020 by Tryolabs!
"A must for doing configuration management in the 21st century!"
Our yearly list of favorite #Python libraries is out! 🚀
This time we also added some honorable mentions to our main picks. Did we miss any major one? Give us a shout.
Some highlights on the thread. 👇
tryolabs.com/blog/2020/12/21…
Awesome to see Hydra becoming an important part of the AI stack at Facebook.
Having a single set of interchangeable building blocks across different AI subfields will help accelerate progress. We’re reengineering our platforms, using Hydra for configs, and offering greater integration with PyTorch Lightning. ai.facebook.com/blog/reengin…
Fascinating talk about accelerating the design of faster sail-boats using reinforcement learning.
They use Hydra among other good tools to pull this off.
slideslive.com/38942310/maki…
h/t @natolambert for sharing.
Congrats to the NVIDIA NeMo team for the 1.0.0 release candidate!
Really excited to see NeMo embracing Hydra as the way to take control over the configuration madness that is machine learning! :)
Very happy to share our latest NeMo release. We re-designed NeMo to work with @PyTorchLightnin and @Hydra_Framework projects from @PyTorch ecosystem. Train your own #ASR, #NLP and #TTS models or re-use one of the many pre-trained models we have.