emlearn
gutenberg
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emlearn | gutenberg | |
---|---|---|
5 | 106 | |
374 | 12,673 | |
7.2% | 1.9% | |
9.2 | 8.3 | |
21 days ago | about 23 hours ago | |
Python | Rust | |
MIT License | MIT License |
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.
emlearn
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EleutherAI announces it has become a non-profit
> My big gripe, and for obvious reasons, is that we need to step away from cloud-based inference, and it doesn't seem like anyone's working on that.
I think there are steps being taken in this direction (check out [1] and [2] for interesting lightweight transpile / ad-hoc training projects) but there is a lack of centralized community for these constrained problems.
[1] https://github.com/emlearn/emlearn
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Simple and embedded friendly C code for Machine Learning inference algorithms
Examples: Gaussian Mixture Models (GMM) for anomaly detection or clustering Mahalanobis distance (EllipticEnvelope) for anomaly detection Decision trees and tree ensembles (Random Forest, ExtraTrees) Feed-forward Neural Networks (Multilayer Perceptron, MLP) for classification Gaussian Naive Bayes for classification
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[D] Drop your best open source Deep learning related Project
https://github.com/emlearn/emlearn is a ML inference engine for microcontrollers and embedded systems, allowing to deploy models to any platform with a C99 compiler. Has also been used for network traffic analysis as a Linux kernel module, and embedded in Android apps.
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Regression with the C64
The C64 has 64 kB of RAM. That is more than many contemporary microcontrollers. Using something like https://github.com/emlearn/emlearn allows to generate portable C code of ML models for such targets. Should be able to classify digits (MNIST) no problem on such hardware. Assuming there is a workable C compiler available.
Disclosure: Maintainer of emlearn project.
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Ask HN: What are some tools / libraries you built yourself?
I built emlearn, a Machine Learning inference engine for microcontrollers and embedded systems. It allows converting traditional ML models to simple and portable C99, following best practices in embedded software (no dynamic allocations etc). https://github.com/emlearn/emlearn
gutenberg
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Replatforming from Gatsby to Zola!
So after shopping around a bit I found a simple, dependency-less static site generator called Zola. The lack of dependencies sounded very attractive after all the headaches trying to update my Gatsby modules. I wanted to give Zola a try and see what tradeoffs I would need to make coming form a React-based framework to this Rust-based generator.
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Ask HN: What's the simplest static website generator?
I think you're thinking about Zola: https://github.com/getzola/zola
But yes, if I were to recommend something, it'd be Zola given that there's just one executable that you need to run and there's absolutely no setup required.
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Ask HN: Looking for lightweight personal blogging platform
If I were to start again from scratch, I'd likely use Zola as SSG (https://www.getzola.org/)
- Zola – Single binary static site generator
- Zola
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Ask HN: So, static website generators and hosting in 2023/24. What's out there?
I've used Zola (https://github.com/getzola/zola) for a static project homepage a few years ago to showcase examples with a simple description and a wasm app embedded in the page, it worked perfectly for me and the docs was clear on how to use it. It was very easy to set up along with a GitHub action to automatically update the wasm binaries when needed. It is definitely a tool I keep in my mental toolbox as a good default.
- Zola: Your one-stop static site engine
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Gojekyll – 20x faster Go port of jekyll
I'm currently learning https://www.getzola.org/.
It's more manual than idy like but it's gonna be for a small personal and work website so I don't mind much.
It's super fast.
Doesn't seem to fit your use casr but still.
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The right way to build a dynamic personal website for a physics student?
(Note: that list is overwhelming; you don't need to go through it. Order by popularity and look at the top 3-5 at most. Hugo, Jekyll, Gatsby... Personally I'm using Zola [ https://www.getzola.org/ ] for a couple of sites, but that's just me.)
What are some alternatives?
miceforest - Multiple Imputation with LightGBM in Python
Hugo - The world’s fastest framework for building websites.
cppflow - Run TensorFlow models in C++ without installation and without Bazel
eleventy 🕚⚡️ - A simpler site generator. Transforms a directory of templates (of varying types) into HTML.
fselect - Find files with SQL-like queries
Nikola - A static website and blog generator
pico-wake-word - MicroSpeech Wake Word example on the Raspberry Pi Pico. This is a port of the example on the TensorFlow repository.
Rocket - A web framework for Rust.
sklearn-project-template - Machine learning template for projects based on sklearn library.
Sapper - A lightweight web framework built on hyper, implemented in Rust language.
experta - Expert Systems for Python
hakyll - A static website compiler library in Haskell