bastionlab
burn
bastionlab | burn | |
---|---|---|
3 | 9 | |
167 | 7,169 | |
1.2% | 6.3% | |
5.1 | 9.8 | |
7 months ago | 1 day ago | |
Rust | Rust | |
Apache License 2.0 | 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.
bastionlab
- BastionLab: A privacy-by-design DataFrame library
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Introducing BastionLab - Collaborate with our simple privacy framework for data visualization!
To see what plotting looks like when privacy issues are automatically handled for you, you can check our GitHub or directly go to our Visualization tutorial π
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Introducing BastionLab - A simple privacy framework for data science collaboration!
π₯ Weβre thrilled to introduce BastionLab, our simple privacy framework for data science collaboration! To see what remote data exploration looks like when all privacy concerns are automatically handled for you, you can check our GitHub or directly go to our Quick Tour tutorial, which is also available on Colab π
burn
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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 β comprehensive dynamic Deep Learning Framework built using Rust
- Burn: Deep Learning Framework in Rust
What are some alternatives?
PERSIA - High performance distributed framework for training deep learning recommendation models based on PyTorch.
dfdx - Deep learning in Rust, with shape checked tensors and neural networks
universal-android-debloater - Cross-platform GUI written in Rust using ADB to debloat non-rooted android devices. Improve your privacy, the security and battery life of your device.
candle - Minimalist ML framework for Rust
modelbox - An extensible machine learning model store and model transformation and distribution service
wonnx - A WebGPU-accelerated ONNX inference run-time written 100% in Rust, ready for native and the web
tch-rs - Rust bindings for the C++ api of PyTorch.
burn - Burn is a new comprehensive dynamic Deep Learning Framework built using Rust with extreme flexibility, compute efficiency and portability as its primary goals. [Moved to: https://github.com/Tracel-AI/burn]
rust-mlops-template - A work in progress to build out solutions in Rust for MLOPs
llama2.rs - A fast llama2 decoder in pure Rust.
corgi - A neural network, and tensor dynamic automatic differentiation implementation for Rust.