applied-ml VS Code-Server

Compare applied-ml vs Code-Server and see what are their differences.

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applied-ml Code-Server
13 397
25,984 65,367
- 0.8%
3.0 9.2
5 days ago 4 days ago
TypeScript
MIT License MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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.

applied-ml

Posts with mentions or reviews of applied-ml. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-01-12.

Code-Server

Posts with mentions or reviews of Code-Server. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-05-01.

What are some alternatives?

When comparing applied-ml and Code-Server you can also consider the following projects:

awesome-mlops - A curated list of references for MLOps

Gitpod - DEPRECATED since Gitpod 0.5.0; use https://github.com/gitpod-io/gitpod/tree/master/chart and https://github.com/gitpod-io/gitpod/tree/master/install/helm

awesome-ml-blogs - Curated list of technical blogs on machine learning · AI/ML/DL/CV/NLP/MLOps

vscodium - binary releases of VS Code without MS branding/telemetry/licensing

machine-learning-roadmap - A roadmap connecting many of the most important concepts in machine learning, how to learn them and what tools to use to perform them.

termux-packages - A package build system for Termux.

Cookbook - The Data Engineering Cookbook

openvscode-server - Run upstream VS Code on a remote machine with access through a modern web browser from any device, anywhere.

ml-surveys - đź“‹ Survey papers summarizing advances in deep learning, NLP, CV, graphs, reinforcement learning, recommendations, graphs, etc.

Eclipse Che - Kubernetes based Cloud Development Environments for Enterprise Teams

pipebase - data integration framework

theia-apps - Theia applications examples - docker images, desktop apps, packagings