Unreachable
Unreachable code path optimization hint for Swift (by nvzqz)
Ray
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads. (by ray-project)
| Unreachable | Ray | |
|---|---|---|
| - | 47 | |
| 102 | 34,925 | |
| - | 2.0% | |
| 0.0 | 10.0 | |
| over 7 years ago | 6 days ago | |
| Swift | Python | |
| MIT License | Apache License 2.0 |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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.
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.
Unreachable
Posts with mentions or reviews of Unreachable.
We have used some of these posts to build our list of alternatives
and similar projects.
We haven't tracked posts mentioning Unreachable yet.
Tracking mentions began in Dec 2020.
Ray
Posts with mentions or reviews of Ray.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2024-11-16.
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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
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TransformerXL + PPO Baseline + MemoryGym
RLlib