Shell Machine Learning

Open-source Shell projects categorized as Machine Learning | Edit details

Top 10 Shell Machine Learning Projects

  • GitHub repo awesome-kubernetes

    A curated list for awesome kubernetes sources :ship::tada:

    Project mention: Scope of GCP in India | reddit.com/r/developersIndia | 2021-06-04
  • GitHub repo DeepDive

    DeepDive

  • 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.

  • GitHub repo tensorflow-on-arm

    TensorFlow for Arm

    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

  • GitHub repo enclosure-picroft

    Mycroft interface for Raspberry Pi environment

    Project mention: No audio on Picroft, only white noise... | reddit.com/r/Mycroftai | 2021-10-26

    sounds like this issue https://github.com/MycroftAI/enclosure-picroft/pull/148

  • GitHub repo Shirt-without-Stripes

    State of AI

    Project mention: shirt without stripes | reddit.com/r/NeuralBlender | 2021-10-17

    see also: Search results for Google, Amazon and Bing, when searching for "shirt without stripes"

  • GitHub repo jetson-containers

    Machine Learning Containers for NVIDIA Jetson and JetPack-L4T

    Project mention: Raspberry Pi4 Good Enough for SLAM? | reddit.com/r/robotics | 2021-12-19

    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.

  • GitHub repo mlflow-easyauth

    Deploy MLflow with HTTP basic authentication using Docker

    Project mention: hosted/managed MLFlow? | reddit.com/r/mlops | 2021-11-26

    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

  • 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.

  • GitHub repo void-dataset

    Visual Odometry with Inertial and Depth (VOID) dataset

    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.

  • GitHub repo 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 | 2021-11-10

    We 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).

  • GitHub repo metaflow-on-kubernetes-docs

    Documentation For Running Metaflow on Kubernetes

    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.

NOTE: The open source projects on this list are ordered by number of github stars. The number of mentions indicates repo mentiontions in the last 12 Months or since we started tracking (Dec 2020). The latest post mention was on 2021-12-19.

Shell Machine Learning related posts

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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