burn
bottlerocket
| burn | bottlerocket | |
|---|---|---|
| 34 | 40 | |
| 4,845 | 8,164 | |
| - | 1.1% | |
| 8.9 | 9.8 | |
| 6 months ago | 6 days ago | |
| Rust | Rust | |
| Apache License 2.0 | GNU General Public License v3.0 or later |
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.
burn
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Burn 0.10.0 Released 🔥 (Deep Learning Framework)
Release Note: https://github.com/burn-rs/burn/releases/tag/v0.10.0
- Deep Learning Framework in Rust: Burn 0.10.0 Released
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Why Rust Is the Optimal Choice for Deep Learning, and How to Start Your Journey with the Burn Deep Learning Framework
The comprehensive, open-source deep learning framework in Rust, Burn, has recently undergone significant advancements in its latest release, highlighted by the addition of The Burn Book 🔥. There has never been a better moment to embark on your deep learning journey with Rust, as this book will guide you through your initial project, providing extensive explanations and links to relevant resources.
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Candle: Torch Replacement in Rust
Burn (deep learning framework in rust) has WGPU backend (WebGPU) already. Check it out https://github.com/burn-rs/burn. It was released recently.
- Burn – A Flexible and Comprehensive Deep Learning Framework in Rust
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Announcing Burn-Wgpu: New Deep Learning Cross-Platform GPU Backend
For more details about the latest release see the release notes: https://github.com/burn-rs/burn/releases/tag/v0.8.0.
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Are there any ML crates that would compile to WASM?
Tract is the most well known ML crate in Rust, which I believe can compile to WASM - https://github.com/sonos/tract/. Burn may also be useful - https://github.com/burn-rs/burn.
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Any working wgpu compute example that would run in a browser?
We, the burn team, are working on the wgpu backend (WebGPU) for Burn deep learning framework. You can check out the current state: https://github.com/burn-rs/burn/tree/main/burn-wgpu
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I’ve fallen in love with rust so now what?
Here is the project: https://github.com/burn-rs/burn
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Is anyone doing Machine Learning in Rust?
Disclaimer, I'm the main author of Burn https://burn-rs.github.io.
bottlerocket
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Exploring cgroups v2 and MemoryQoS With EKS and Bottlerocket
According to this discussion - starting with Bottlerocket 1.13.0 (Mar 2023) new distributions will default to using Cgroups v2 interface for process organization and enforcing resource limits.
- BoletÃn AWS Open Source, Christmas Edition
- Bottlerocket OS
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Bottlerocket – Minimal, immutable Linux OS with verified boot
Well, the link I provided references the Bottlerocket docs which explains the control container and the admin container and also how you can configure Bottlerocket via the User Data field when launching it as an AMI. All the information appears to be in the docs
https://github.com/bottlerocket-os/bottlerocket/blob/develop...
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Introduction to Immutable Linux Systems
On the server-side, there's Bottlerocket OS [1] (Amazon). They use A/B partitions for upgrades, and the idea is that you just run containers for anything non-base. Boot containers are used to do custom configuration at boot, and host-container (or DaemonSet, if you run K8S) is used for long-running services.
[1] https://github.com/bottlerocket-os/bottlerocket
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RedHat try to kill Centos, Rocky, Alma, Oracle Linux
Bottlerocket OS.
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Wolfi: A community Linux OS designed for the container and cloud-native era
To add to the other excellent answers, I would recommend adding Bottlerocket to your reading list: https://github.com/bottlerocket-os/bottlerocket#readme
I'm also aware of (but haven't used) https://github.com/siderolabs/talos#readme
I just realized your question may have implied a desktop os, whereas Bottlerocket, Flatcar, and likely the others in this specific thread are server-side. I don't have much experience with trying to solve that problem on the desktop except for the horror-show that is snap
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Compile Linux Kernel 6.x on AL2? 😎
https://github.com/bottlerocket-os/bottlerocket/issues/2855 soon for bottlerocket, maybe you’ll see Amazon Linux 2023 for eks nodes soon too?
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Twitter open sources Navi: High-Performance Machine Learning Serving Server in Rust
I think open sourcing for free labor is a common misconception. Most corporate led open source projects (eg, https://github.com/bottlerocket-os/bottlerocket from AWS or https://github.com/facebook/relay from Facebook) still require a team of employees.
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OS choices for cluster
Bottlerocket might be worth a look. https://github.com/bottlerocket-os/bottlerocket
What are some alternatives?
candle - Minimalist ML framework for Rust
firecracker - Secure and fast microVMs for serverless computing.
dfdx - Deep learning in Rust, with shape checked tensors and neural networks
Flatcar - Flatcar project repository for issue tracking, project documentation, etc.
tch-rs - Rust bindings for the C++ api of PyTorch.
nerdctl - contaiNERD CTL - Docker-compatible CLI for containerd, with support for Compose, Rootless, eStargz, OCIcrypt, IPFS, ...
Graphite - 2D raster & vector editor that melds traditional layers & tools with a modern node-based, non-destructive, procedural workflow.
lima - Linux virtual machines, with a focus on running containers
tract - Tiny, no-nonsense, self-contained, Tensorflow and ONNX inference [Moved to: https://github.com/sonos/tract]
amazon-ecs-agent - Amazon Elastic Container Service Agent
L2 - l2 is a fast, Pytorch-style Tensor+Autograd library written in Rust
flatcar-linux-update-operator - A Kubernetes operator to manage updates of Flatcar Container Linux