repugnant-pickle
Low effort scraping Python's pickle format in Rust. It is to complete pickle parsing as BeautifulSoup was to complete HTML parsing. (by KerfuffleV2)
burn
Burn is a new comprehensive dynamic Deep Learning Framework built using Rust with extreme flexibility, compute efficiency and portability as its primary goals. (by tracel-ai)
| repugnant-pickle | burn | |
|---|---|---|
| 1 | 9 | |
| 20 | 7,074 | |
| - | 5.1% | |
| 4.7 | 9.8 | |
| 4 months ago | 6 days ago | |
| Rust | Rust | |
| 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.
repugnant-pickle
Posts with mentions or reviews of repugnant-pickle.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-04-06.
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Introducing repugnant-pickle, a crate for scraping Python Pickle files in a basic way. Notable, it can deal with (some) PyTorch model files.
The repo has a detailed README: https://github.com/KerfuffleV2/repugnant-pickle
burn
Posts with mentions or reviews of burn.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2024-04-26.
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3 years of fulltime Rust game development, and why we're leaving Rust behind
You can use libtorch directly via `tch-rs`, and at present I'm porting over to Burn (see https://burn.dev) which appears incredibly promising. My impression is it's in a good place, if of course not close to the ecosystem of Python/C++. At very least I've gotten my nn models training and running without too much difficulty. (I'm moving to Burn for the thread safety - their `Tensor` impl is `Sync` - libtorch doesn't have such a guarantee.)
Burn has Candle as one of its backends, which I understand is also quite popular.
- Burn: Deep Learning Framework built using Rust
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Transitioning From PyTorch to Burn
[package] name = "resnet_burn" version = "0.1.0" edition = "2021" [dependencies] burn = { git = "https://github.com/tracel-ai/burn.git", rev = "75cb5b6d5633c1c6092cf5046419da75e7f74b11", features = ["ndarray"] } burn-import = { git = "https://github.com/tracel-ai/burn.git", rev = "75cb5b6d5633c1c6092cf5046419da75e7f74b11" } image = { version = "0.24.7", features = ["png", "jpeg"] }
- Burn Deep Learning Framework Release 0.12.0 Improved API and PyTorch Integration
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Supercharge Web AI Model Testing: WebGPU, WebGL, and Headless Chrome
Great!
For Burn project, we have WebGPU example and I was looking into how we could add automated tests in the browser. Now it seems possible.
Here is the image classification example if you'd like to check out:
https://github.com/tracel-ai/burn/tree/main/examples/image-c...
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Burn Deep Learning Framework 0.11.0 Released: Just-in-Time Automatic Kernel Fusion & Founding Announcement
Full Release Note: https://github.com/tracel-ai/burn/releases/tag/v0.11.0
- Burn Deep Learning Framework v0.11.0 Released: Just-in-Time Kernel Fusion
- Burn – comprehensive dynamic Deep Learning Framework built using Rust
- Burn: Deep Learning Framework in Rust