ML-Workspace
cocalc-docker
Our great sponsors
ML-Workspace | cocalc-docker | |
---|---|---|
7 | 7 | |
3,324 | 392 | |
1.1% | - | |
2.7 | 7.7 | |
5 months ago | about 2 months ago | |
Jupyter Notebook | Dockerfile | |
Apache License 2.0 | GNU General Public License v3.0 or later |
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.
ML-Workspace
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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.
cocalc-docker
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Looking for a multi-user Self-Hosted Jupyter Alternative to Kaggle/Google Colab
I recently discovered Sagemath CoCalc.
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Collaborative platform-R
You can download and use cocalc for free via a docker image: https://github.com/sagemathinc/cocalc-docker
- SelfHosted Calculator (Math, Physics)
- Looking for simple LaTeX editor
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Because of EU rules it is no longer possible for my university to use Overleaf. Does anybody have any other recommendations (preferably free but everything will do) that can handle the sheer amount of equations that go into a physics rapport. Thanks!
I am the CEO of CoCalc, which is an alternatives to Overleaf that they don't own. I don't know whether or not our rules about personal data collection are compatible with your university requirements. Our default rules are at https://cocalc.com/policies, but we have been able to make modifications to them for particular customers. We also have a small easy to install on premises version here https://github.com/sagemathinc/cocalc-docker, and sell a more complicated Kubernetes-based on prem version of our software, so you control all data. Please feel free to email [[email protected]](mailto:[email protected]) with more detailed questions. In particular, it could be that we've already worked with your university to use CoCalc for collaborative Jupyter notebooks for teaching (that's the main thing CoCalc is used for, not latex), and that's something we can discuss in our support channels.
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What you gonna add to your selfhost stack this year?
Mail - probably with mailu; and a multimedia server, but I haven't decided yet which one zenphoto? piwigo? lychee? or others?). Maybe seafile, although I probably don't need it given my use now of Syncthing and a backup strategy. And maybe... CoCalc (https://github.com/sagemathinc/cocalc-docker) as it'd be great to be able to run this from any machine, rather than having to manage software for different platforms.
- Visual Studio Code now available as Web based editor for GitHub repos
What are some alternatives?
JupyterLab - JupyterLab computational environment.
Code-Server - VS Code in the browser
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
vscodium - binary releases of VS Code without MS branding/telemetry/licensing
keytotext - Keywords to Sentences
github1s - One second to read GitHub code with VS Code.
self-hosted - Sentry, feature-complete and packaged up for low-volume deployments and proofs-of-concept
brackets - An open source code editor for the web, written in JavaScript, HTML and CSS.
pyright - Static Type Checker for Python
pycaret - An open-source, low-code machine learning library in Python
vscode-neovim - Vim mode for VSCode, powered by Neovim