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Top 17 Accelerate Open-Source Projects
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InfluxDB
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WorkOS
The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.
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SaaSHub
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I recently found [axel], which is very impressive wget-like tool for larger files.
[axel]: https://github.com/axel-download-accelerator/axel
I haven't tried it myself, but it looks like several are already looking at implementing machine learning with WebGPU, and that this is one of the goals of WebGPU. Some info I found:
* "WebGPU powered machine learning in the browser with Apache TVM" - https://octoml.ai/blog/webgpu-powered-machine-learning-in-th...
* "Fastest DNN Execution Framework on Web Browser" https://mil-tokyo.github.io/webdnn/
* "Google builds WebGPU into Chrome to speed up rendering and AI tasks" https://siliconangle.com/2023/04/07/google-builds-webgpu-chr...
Nice article. We did a demo for booting to LLM and also as Kernel Module: https://github.com/trholding/llama2.c The whole things was funny and buggy, but since then we have been developing in stealth, even trying to raise VC capital. Our goal is to make computers like a buddy to whom you can talk to and explain things and get work done, kinda like a Jarvis. The way we interact with computers haven't changed for decades, its time to disrupt that to get more productivity. I also believe with this approach one can avoid installing different applications, when the computer (models) emulate activities done through applications. For example, cutting and pasting a dog from a dog photo onto a banner for a dog racing competition would not require you to be a graphics artist nor use tools like photshop / gimp. You could tell the computer and it would use segment anything to cut the dog, use Text and SD for banner text and bg paste the dog, seek your approval, search for the fastest, best and cheapest banner printing service and submit it. 10 years ago this could have been sci-fi, but now it is a possibility. Just need to connect the dots, package and polish it to make it a good product.
NOTE:
The open source projects on this list are ordered by number of github stars.
The number of mentions indicates repo mentiontions in the last 12 Months or
since we started tracking (Dec 2020).
Accelerate related posts
- The curl-wget Venn diagram
- Is there a way to configure docker (or podman) to use axel while pulling images from docker hub on linux?
- Should I use newer ghc?
- are these wget downloads always around 100 kbps?
- Haskell deep learning tutorials [Blog]
- How do I get my program to use 100% of the GPU?
- I made a petition to get the accelerate project for Haskell some funding.
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A note from our sponsor - WorkOS
workos.com | 23 Apr 2024
Index
What are some of the best open-source Accelerate projects? This list will help you:
| Project | Stars | |
|---|---|---|
| 1 | lightseq | 3,088 |
| 2 | axel | 2,814 |
| 3 | WebDNN | 1,970 |
| 4 | llama2.c | 1,380 |
| 5 | accelerate | 886 |
| 6 | accelerate-llvm | 151 |
| 7 | OSDT | 94 |
| 8 | accelerate-examples | 69 |
| 9 | accelerate-cuda | 57 |
| 10 | accelerate-io | 16 |
| 11 | accelerate-fft | 10 |
| 12 | accelerate-blas | 8 |
| 13 | accelerate-bignum | 3 |
| 14 | Model-Sharding | 2 |
| 15 | containers-accelerate | 2 |
| 16 | hashable-accelerate | 0 |
| 17 | FAI | 0 |
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