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ML-Workspace Alternatives
Similar projects and alternatives to ML-Workspace
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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.
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openvscode-server
Run upstream VS Code on a remote machine with access through a modern web browser from any device, anywhere.
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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.
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brackets
An open source code editor for the web, written in JavaScript, HTML and CSS. (by brackets-cont)
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cocalc-docker
Discontinued DEPRECATED (was -- Docker setup for running CoCalc as downloadable software on your own computer)
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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 (by gitpod-io)
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self-hosted
Sentry, feature-complete and packaged up for low-volume deployments and proofs-of-concept
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NOTE:
The number of mentions on this list indicates mentions on common posts plus user suggested alternatives.
Hence, a higher number means a better ML-Workspace alternative or higher similarity.
ML-Workspace reviews and mentions
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.
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[D] I recently quit my job to start a ML company. Would really appreciate feedback on what we're working on.
Also check out: https://github.com/ml-tooling/ml-workspace, it a nice open source project with lots of packages ready to use.
- ML-Workspace
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Coding for machine learning on Tab S8?
The other option - no reason why you couldn't host something on the desktop machine - web based IDE like R-Studio or Python - have a look at ml-workspace - https://github.com/ml-tooling/ml-workspace that runs in Docker and would provide interfaces for both Python and R, VSCode as well as a GPU accelerated variant for doing Tensorflow etc - either Windows or Linux can support Docker containers (Linux is less trouble apparently - I only have played with it in Linux personally)
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Dynamically spin up VM (based on specific HTTPS request) and stop it once session is over?
It will be a web based IDE dev kit (like Jupyter Hub, or JupyterLab) if you are familiar with them)
- All-in-One Docker Based IDE for Data Science and ML
- Visual Studio Code now available as Web based editor for GitHub repos
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[P] Install or update CUDA, NVIDIA Drivers, Pytorch, Tensorflow, and CuDNN with a single command: Lambda Stack
I'll stick with https://github.com/ml-tooling/ml-workspace, is a docker with all tools installed, also the option of using GPU, so I think is better than only for debian. This way anyone can use it.
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A note from our sponsor - SaaSHub
www.saashub.com | 26 Apr 2024
Stats
Basic ML-Workspace repo stats
7
3,324
2.7
5 months ago
ml-tooling/ml-workspace is an open source project licensed under Apache License 2.0 which is an OSI approved license.
ML-Workspace is marked as "self-hosted". This means that it can be used as a standalone application on its own.
The primary programming language of ML-Workspace is Jupyter Notebook.
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