simsopt
Ray
| simsopt | Ray | |
|---|---|---|
| 2 | 48 | |
| 116 | 37,839 | |
| 4.3% | 1.5% | |
| 9.6 | 10.0 | |
| 6 days ago | 4 days ago | |
| Python | Python | |
| MIT License | Apache License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
simsopt
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stellarator math problems: boozer surface approach
Coil configurations are typically obtained numerically. You might know https://github.com/hiddenSymmetries/simsopt already, but if not, it's worth having a look at their example problems and understanding what's going on
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Getting into fusion as a space physicist
It sounds like to me that you are tied to a specific region or university? If so it might be difficult to get involved. However, a lot of work, especially on stellarator optimization, is done remotely, and tools are somewhat easy to get. For example, the simsopt project is fully open source, but it does involve compiling VMEC which is a pain. If you're willing to share your university/area of the country, then I can see if I know anyone involved in fusion research in your area.
Ray
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My personal favorite MCP server which has became part of my life
GitHub: github.com/ray-project/ray (Ray Serve is part of Ray)
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Ask HN: What Open Source Projects Need Help?
I'm guessing this comment is some kind of "if you know, you know." Likely starting from https://docs.ray.io/en/latest/cluster/vms/user-guides/launch... and then trawling through one of these I guess https://github.com/ray-project/ray/issues?q=is%3Aissue+prem+...
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Running Phi 3 with vLLM and Ray Serve
It will take some time to load the images since rayproject/ray-ml:2.30.0 image is oversized (you could try building a small image file using that one, as mentioned here)
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Amazon's Exabyte-Scale Migration from Apache Spark to Ray on Amazon EC2
Yeah, mmap, I think this is the relevant line [1].
Fun fact, very early on, we used to create one mmapped file per serialized object, but that very quickly broke down.
Then we switched to mmapping one large file at the start and storing all of the serialized objects in that file. But then as objects get allocated and deallocated, you need to manage the memory inside of that mmapped file, and we just repurposed a malloc implementation to handle that.
[1] https://github.com/ray-project/ray/blob/21202f6ddc3ceaf74fbc...
- Comparison: Dask vs. Ray
- Ray: Unified framework for scaling AI and Python applications
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Open Source Advent Fun Wraps Up!
22. Ray | Github | tutorial
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Fine-Tuning Llama-2: A Comprehensive Case Study for Tailoring Custom Models
Training times for GSM8k are mentioned here: https://github.com/ray-project/ray/tree/master/doc/source/te...
- Ray – an open source project for scaling AI workloads
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Methods to keep agents inside grid world.
Here's a reference from RLlib that points to docs and an example, and here's one from one of my projects that includes all my own implementations
What are some alternatives?
fusion_plots - Plots and figures relevant for a fusion research lecture
stable-baselines3 - PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.
openmc - OpenMC Monte Carlo Code
gevent - Coroutine-based concurrency library for Python
paramak - Create parametric 3D fusion reactor CAD and neutronics models
Faust - Python Stream Processing