event-transcripts VS ML-Workspace

Compare event-transcripts vs ML-Workspace and see what are their differences.

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event-transcripts ML-Workspace
1 7
36 3,324
- 0.4%
9.0 2.7
11 days ago 6 months ago
Jupyter Notebook Jupyter Notebook
- Apache License 2.0
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.

event-transcripts

Posts with mentions or reviews of event-transcripts. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-11-29.

ML-Workspace

Posts with mentions or reviews of ML-Workspace. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-01-06.

What are some alternatives?

When comparing event-transcripts and ML-Workspace you can also consider the following projects:

machine_learning_complete - A comprehensive machine learning repository containing 30+ notebooks on different concepts, algorithms and techniques.

JupyterLab - JupyterLab computational environment.

Made-With-ML - Learn how to design, develop, deploy and iterate on production-grade ML applications.

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

keytotext - Keywords to Sentences

self-hosted - Sentry, feature-complete and packaged up for low-volume deployments and proofs-of-concept

Code-Server - VS Code in the browser

cocalc-docker - DEPRECATED (was -- Docker setup for running CoCalc as downloadable software on your own computer)

pycaret - An open-source, low-code machine learning library in Python

RStudio Server - RStudio is an integrated development environment (IDE) for R

Vue Storefront - Alokai is a Frontend as a Service solution that simplifies composable commerce. It connects all the technologies needed to build and deploy fast & scalable ecommerce frontends. It guides merchants to deliver exceptional customer experiences quickly and easily.

vscode-neovim - Vim mode for VSCode, powered by Neovim