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Top 16 Go Deep Learning Projects
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Take a look into https://github.com/nlpodyssey/spago. If you don't need GPU processing it could fit your needs
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Project mention: Spice AI - A platform that allows to create apps based on data and AI for Web 3 | reddit.com/r/HodlersCommunity | 2022-09-16
Website | Twitter | Discord | Github
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InfluxDB
Build time-series-based applications quickly and at scale.. InfluxDB is the Time Series Platform where developers build real-time applications for analytics, IoT and cloud-native services. Easy to start, it is available in the cloud or on-premises.
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CGO? Too much overhead in calling C functions (in which you can wrap libtorch or TF C++ code). And too much struggling woth CUDA (actually all GPU stuff). But, there are interesting attempts: https://github.com/gorgonia/gorgonia (I love it most), https://github.com/sugarme/gotch (bindings to libtorch), https://github.com/nlpodyssey/spago.
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nos
Module to Automatically maximize the utilization of GPU resources in a Kubernetes cluster through real-time dynamic partitioning and elastic quotas - Effortless optimization at its finest!
Project mention: Introducing Nos - Opensource to Maximize GPU Utilization in Kubernetes (more in the comments) | reddit.com/r/kubernetes | 2023-01-31 -
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Project mention: Show HN: VerbaFlow – Tiny ChatGPT for Go Community AI Revolution | news.ycombinator.com | 2023-01-29
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modelbox
An extensible machine learning model store and model transformation and distribution service
I am building modelbox right now - https://github.com/tensorland/modelbox I began building this in Rust while also learning the language. It became quickly very complex as I started introducing streams in async traits. I think in a few years things will get a lot better as more people use Rust for building web services, but I had to go back to Go to be more productive and ship this thing out. I loved how the compiler was forcing me to think harder about life times and such.
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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.
Project mention: It is possible to understand webRTC without JavaScript knowledge on unity ? Looking for some guidance. | reddit.com/r/WebRTC | 2023-01-20I 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 .
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Go Deep Learning related posts
- Introducing Nos - Opensource to Maximize GPU Utilization in Kubernetes (more in the comments)
- Opensource to maximize GPU utilization in Kubernetes
- New Opensource to Maximize GPU Utilization in Kubernetes
- Introducing Nos - Opensource to Maximize GPU Utilization in Kubernetes (more in the comments)
- Deploying ML models straight from Jupyter Notebooks
- [D] HuggingFace in Julia or Rust ?
- Just made my first ever (useful) Python program. Would it be better/easier to make it as a web app, or a GUI?
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Index
What are some of the best open-source Deep Learning projects in Go? This list will help you:
Project | Stars | |
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1 | Gorgonia | 4,815 |
2 | olivia | 3,435 |
3 | vearch | 1,491 |
4 | spaGO | 1,287 |
5 | spiceai | 775 |
6 | aistore | 734 |
7 | go-deep | 412 |
8 | gotch | 304 |
9 | nos | 238 |
10 | gan-go | 76 |
11 | cybertron | 65 |
12 | tokenizer | 41 |
13 | goslide | 34 |
14 | verbaflow | 12 |
15 | modelbox | 10 |
16 | distributed-inference | 2 |