oomstore
Lightweight and Fast Feature Store Powered by Go (and Rust). (by oom-ai)
distributed-inference
A project to demonstrate an approach to designing cross-language and distributed pipeline in deep learning/machine learning domain, using WebRTC and Redis Streams. (by adalkiran)
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| oomstore | distributed-inference | |
|---|---|---|
| 1 | 3 | |
| 84 | 46 | |
| - | - | |
| 2.6 | 1.0 | |
| about 2 years ago | about 1 year ago | |
| Go | Go | |
| Apache License 2.0 | 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.
oomstore
Posts with mentions or reviews of oomstore.
We have used some of these posts to build our list of alternatives
and similar projects.
-
Learning Go for Machine Learning
However, building ML infrastructure in Go is definitely a good idea. We at oom.ai is building oomstore - a ML feature store - in Go. Check out https://github.com/oom-ai/oomstore if you're interested, but it requires quite some Go familiarity to understand the code.
distributed-inference
Posts with mentions or reviews of distributed-inference.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-01-20.
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Distributed Inference - Apply Deep Learning to WebRTC video frames w/Redis Streams
You can find it at: https://github.com/adalkiran/distributed-inference
- Show HN: Distributed Inference,Apply DL to WebRTC Video Frames via Redis Streams
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It is possible to understand webRTC without JavaScript knowledge on unity ? Looking for some guidance.
I recommend WebRTC For The Curious too, as another comment. Personally, I didn't use WebRTC in C#, but the WebRTC concepts are nearly the same in every different language/platform. Also, you can check out my project and documentation on internals of WebRTC, written in Go and JavaScript: https://github.com/adalkiran/webrtc-nuts-and-bolts . It's not related directly, but another example of usage at my other project, written in Go, Python, and JavaScript: https://github.com/adalkiran/distributed-inference .
What are some alternatives?
When comparing oomstore and distributed-inference you can also consider the following projects:
beneath - Beneath is a serverless real-time data platform ⚡️
orchy - Distributed, Fault tolerant workflow orchestrator
TFServingCache - Distributed model cache for TF Serving
inventa-examples - Cross-language example projects to demonstrate how Inventa works and how to use it as microservice registry and for executing RPC.
Pion WebRTC - Pure Go implementation of the WebRTC API
webrtc-nuts-and-bolts - A holistic way of understanding how WebRTC and its protocols run in practice, with code and detailed documentation.
turn - Pion TURN, an API for building TURN clients and servers