Top 10 Shell Machine Learning Projects
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Scout APM
Less time debugging, more time building. Scout APM allows you to find and fix performance issues with no hassle. Now with error monitoring and external services monitoring, Scout is a developer's best friend when it comes to application development.
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Project mention: Pastey - a self-hosted Pastebin alternative with language detection and on-disk encryption | reddit.com/r/selfhosted | 2021-04-13
Unless something like this would work: https://github.com/lhelontra/tensorflow-on-arm
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sounds like this issue https://github.com/MycroftAI/enclosure-picroft/pull/148
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see also: Search results for Google, Amazon and Bing, when searching for "shirt without stripes"
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I had to modify this dockerfile to get pangolin to work, but now it is the ORB_SLAM2_CODA portion that I cannot figure out.
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Not fully managed, but we put https://github.com/soundsensing/mlflow-easyauth on Heroku. Heroku manages the OS, database and application lifecycle, logging etc. Much more comfortable than dealing with VMs
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SonarQube
Static code analysis for 29 languages.. Your projects are multi-language. So is SonarQube analysis. Find Bugs, Vulnerabilities, Security Hotspots, and Code Smells so you can release quality code every time. Get started analyzing your projects today for free.
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Project mention: Unsupervised Depth Completion from Visual Inertial Odometry | news.ycombinator.com | 2021-08-30
Hey there, interested in camera and range sensor fusion for point cloud (depth) completion?
Here is an extended version of our [talk](https://www.youtube.com/watch?v=oBCKO4TH5y0) at ICRA 2020 where we do a step by step walkthrough of our paper Unsupervised Depth Completion from Visual Inertial Odometry (joint work with Fei Xiaohan, Stephanie Tsuei, and Stefano Soatto).
In this talk, we present an unsupervised method (no need for human supervision/annotations) for learning to recover dense point clouds from images, captured by cameras, and sparse point clouds, produced by lidar or tracked by visual inertial odometry (VIO) systems. To illustrate what I mean, here is an [example](https://github.com/alexklwong/unsupervised-depth-completion-visual-inertial-odometry/blob/master/figures/void_teaser.gif?raw=true) of the point clouds produced by our method.
Our method is light-weight (so you can run it on your computer!) and is built on top of [XIVO] (https://github.com/ucla-vision/xivo) our VIO system.
For those interested here are links to the [paper](https://arxiv.org/pdf/1905.08616.pdf), [code](https://github.com/alexklwong/unsupervised-depth-completion-visual-inertial-odometry) and the [dataset](https://github.com/alexklwong/void-dataset) we collected.
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astroddpm
A denoising diffusion probabilistic model synthesises galaxies that are qualitatively and physically indistinguishable from the real thing.
Project mention: All of These Astronomy Picture of the Day Images are Fake Except One | reddit.com/r/Astronomy | 2021-11-10We use a Score-Based Generative Model (SBGM) to produce these images. You can find the code for training the model on my github (https://github.com/Smith42/astroddpm).
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Project mention: [D] What’s the simplest, most lightweight but complete and 100% open source MLOps toolkit? -> MY OWN CONCLUSIONS | reddit.com/r/MachineLearning | 2021-03-30
There are community Forks supporting Kubernetes and KFP. But they are not yet a part of the main framework and support is fluctuating. I think support should be available in the future.
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Index
What are some of the best open-source Machine Learning projects in Shell? This list will help you:
| Project | Stars | |
|---|---|---|
| 1 | awesome-kubernetes | 12,367 |
| 2 | DeepDive | 1,884 |
| 3 | tensorflow-on-arm | 959 |
| 4 | enclosure-picroft | 712 |
| 5 | Shirt-without-Stripes | 637 |
| 6 | jetson-containers | 459 |
| 7 | mlflow-easyauth | 51 |
| 8 | void-dataset | 42 |
| 9 | astroddpm | 12 |
| 10 | metaflow-on-kubernetes-docs | 4 |
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