cob-webber
burn
Our great sponsors
| cob-webber | burn | |
|---|---|---|
| 4 | 8 | |
| 6 | 7,020 | |
| - | 10.2% | |
| 10.0 | 9.8 | |
| over 1 year ago | 4 days ago | |
| TypeScript | Rust | |
| MIT License | Apache License 2.0 |
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.
cob-webber
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I’ve fallen in love with rust so now what?
Sadly, I am too young for punchcards, however I have ported cobol to webasm ( https://github.com/wmealing/cob-webber ) and working on a gnucobo-mode for emacs ( https://github.com/wmealing/gnucobol-mode )
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Forking Chrome to render in a terminal
You willing to talk about this, because i'm stuck doing pretty much this for https://github.com/wmealing/cob-webber,
- GnuCOBOL in WASM: COBOL for the Browser
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COBOL wants to find out just how popular it is
I ported gnucobol to webasm to inflict pain on future generations of programmers.
https://github.com/wmealing/cob-webber
Ncurses with vt100 emulation kinda works. But it's timing is garbage and text input is funny.
burn
- 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
What are some alternatives?
perceptronCobol - A perceptron written in COBOL
dfdx - Deep learning in Rust, with shape checked tensors and neural networks
gnucobol-mode - GNU cobol mode for emacs
candle - Minimalist ML framework for Rust
bevy - A refreshingly simple data-driven game engine built in Rust
wonnx - A WebGPU-accelerated ONNX inference run-time written 100% in Rust, ready for native and the web
trane - An automated practice system for learning complex skills
rust-mlops-template - A work in progress to build out solutions in Rust for MLOPs
browsh - A fully-modern text-based browser, rendering to TTY and browsers
tch-rs - Rust bindings for the C++ api of PyTorch.
awesome-cli-rust
llama2.rs - A fast llama2 decoder in pure Rust.