Shell Machine Learning

Open-source Shell projects categorized as Machine Learning
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Topics: #Docker #Computer Vision #Data Science #AI #Azure
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Top 16 Shell Machine Learning Projects

  • awesome-kubernetes

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

    Project mention: A list of curated open-source K8s tools & resources | /r/kubernetes | 2023-03-15

    There are some lists already: * https://github.com/ramitsurana/awesome-kubernetes * https://github.com/tomhuang12/awesome-k8s-resources

  • nsfw_data_scraper

    Collection of scripts to aggregate image data for the purposes of training an NSFW Image Classifier

    Project mention: How can I set up a ‘data scrapper’ to download images from a subreddit ? | /r/StableDiffusion | 2023-04-12

    NSFW - https://github.com/alex000kim/nsfw_data_scraper

  • 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.

  • DeepDive

    DeepDive

  • tensorflow-on-arm

    TensorFlow for Arm

  • jetson-containers

    Machine Learning Containers for NVIDIA Jetson and JetPack-L4T

    Project mention: Should I use Docker ROS2? | /r/ROS | 2023-01-16

    That's the worst solution because you lose CUDA support, if you don't use the NANO's GPU you can use a Rpi4 instead that has a more powerful CPU. Docker is the solution instead, there are ready images for Jetson: https://github.com/dusty-nv/jetson-containers

  • enclosure-picroft

    Mycroft interface for Raspberry Pi environment

  • bigscience

    Central place for the engineering/scaling WG: documentation, SLURM scripts and logs, compute environment and data.

  • InfluxDB

    Access the most powerful time series database as a service. Ingest, store, & analyze all types of time series data in a fully-managed, purpose-built database. Keep data forever with low-cost storage and superior data compression.

  • Shirt-without-Stripes

    State of AI

    Project mention: Chatbots Don’t Know What Stuff Isn’t | news.ycombinator.com | 2023-05-12

    This reminded me about https://github.com/elsamuko/Shirt-without-Stripes

    Whose days may be soon over as gpt4 gets this overall right..? As noted by many folks here

  • mlops-v2

    Azure MLOps (v2) solution accelerators. Enterprise ready templates to deploy your machine learning models on the Azure Platform.

    Project mention: MLOps: Machine learning model management - Azure Machine Learning | Microsoft Learn | /r/u_TsukiZombina | 2023-02-20

  • void-dataset

    Visual Odometry with Inertial and Depth (VOID) dataset

  • mlflow-easyauth

    Deploy MLflow with HTTP basic authentication using Docker

  • astroddpm

    A denoising diffusion probabilistic model synthesises galaxies that are qualitatively and physically indistinguishable from the real thing.

  • video-inference

    Example showing how to do inference on a video file with Roboflow Infer

    Project mention: What are the fastest face decection liblaries for detect faces in a video? | /r/computervision | 2022-07-11

    Video Inference: https://github.com/roboflow-ai/video-inference

  • metaflow-on-kubernetes-docs

    Documentation For Running Metaflow on Kubernetes

  • features

    A collection of development container 'features' for machine learning and data science (by iterative)

    Project mention: Development Containers | news.ycombinator.com | 2023-01-24

    The way I see it - it's a really nice way to make modules out of your Docker files (e.g. we need to install a tool and we need to run apt-get + some config, etc). And a simpler, JSON syntax to apply those modules on top of a base image.

    I love the experience so far, we've done a few features (modules) - e.g. this one to install `nvtop` to see GPU utilization https://github.com/iterative/features/blob/main/src/nvtop/in...

    The whole CUDA + nvtop + (some other tools) for an example project to be run on a remote machine via VS Code becomes like this:

    https://github.com/shcheklein/hackathon/blob/main/.devcontai...

    And that's enough to run ML training on GH Codespaces with GPU support. Super cool experience.

  • model_zoo

    A repository of custom models specialized to various use cases.

    Project mention: Hi do you guys have any labelled dataset for training small robots ro recognize common objects? | /r/computervision | 2023-06-07

    You may want to try the Remyx engine - you can train a model by describing the labels you want without having to upload labeled data. Here's a demo. Your first model is free :) Here is our model zoo with some common object models that might be useful too.

  • SaaSHub

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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 2023-06-07.

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 13,942
2 nsfw_data_scraper 11,880
3 DeepDive 1,934
4 tensorflow-on-arm 1,037
5 jetson-containers 911
6 enclosure-picroft 782
7 bigscience 753
8 Shirt-without-Stripes 643
9 mlops-v2 306
10 void-dataset 83
11 mlflow-easyauth 81
12 astroddpm 37
13 video-inference 25
14 metaflow-on-kubernetes-docs 7
15 features 6
16 model_zoo 1

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