Shell Machine Learning

Open-source Shell projects categorized as Machine Learning

Top 18 Shell Machine Learning Projects

  • awesome-kubernetes

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

  • nsfw_data_scraper

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

  • WorkOS

    The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.

    WorkOS logo
  • DeepDive

    DeepDive

  • tensorflow-on-arm

    TensorFlow for Arm

  • bigscience

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

  • enclosure-picroft

    Mycroft interface for Raspberry Pi environment

  • 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

  • InfluxDB

    Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

    InfluxDB logo
  • mlops-v2

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

  • humanscript

    A truly natural scripting language

  • Project mention: humanscript: An LLM powered plain english programming language | /r/nektonai | 2023-08-10
  • void-dataset

    Visual Odometry with Inertial and Depth (VOID) dataset

  • mlflow-easyauth

    Deploy MLflow with HTTP basic authentication using Docker

  • get-beam

    Run GPU inference and training jobs on serverless infrastructure that scales with you.

  • Project mention: Ask HN: Where to find an env with GPU for model training? | news.ycombinator.com | 2024-01-16

    You should checkout https://beam.cloud (I'm the founder), it'll give you access to plenty of cloud GPU resources for training or inference.

    Right now it's pretty hard to get GPU quota on AWS/GCP, so hopefully this is useful for you.

  • astroddpm

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

  • kubeflow-bootstrap

    🪐 1-click Kubeflow using ArgoCD

  • Project mention: Show HN: Kubeflow's Missing Helm Chart | news.ycombinator.com | 2024-03-19

    Kubeflow is an ML platform like Sagemaker or Databricks that you can self-host in a Kubernetes cluster.

    Installing/deploying it is as complicated as it sounds, but we've put together an infrastructure project that lets you '1-click' install it even in tiny environments.

    The GH repo (also linked in blog) allows you to start Kubeflow in a codespace or small device using a docker container -- this is both good for trying it out and developing it into your own internal ML platform.

    https://github.com/treebeardtech/kubeflow-helm

  • 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: Microsoft Docker Development Container Templates | news.ycombinator.com | 2023-08-13

    * "Features" (https://containers.dev/implementors/features/ ) which allow you to quickly add functionality to your dev containers. For example, when I want to add the terraform CLI, I add the corresponding feature to the devcontainer.json.

  • 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.

  • Container-benchmarks

    Simple benchmarks of containers using sysbench

  • Project mention: Some benchmarks of containers | /r/homelab | 2023-10-23
  • SaaSHub

    SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives

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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).

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 14,715
2 nsfw_data_scraper 12,149
3 DeepDive 1,946
4 tensorflow-on-arm 1,047
5 bigscience 935
6 enclosure-picroft 799
7 Shirt-without-Stripes 642
8 mlops-v2 449
9 humanscript 224
10 void-dataset 103
11 mlflow-easyauth 100
12 get-beam 89
13 astroddpm 47
14 kubeflow-bootstrap 19
15 metaflow-on-kubernetes-docs 7
16 features 6
17 model_zoo 3
18 Container-benchmarks 1

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