code
ML-Workspace
| code | ML-Workspace | |
|---|---|---|
| 1 | 7 | |
| 874 | 3,329 | |
| - | 0.6% | |
| 0.0 | 2.7 | |
| 3 months ago | 6 months ago | |
| Jupyter Notebook | Jupyter Notebook | |
| - | Apache License 2.0 |
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code
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An "Improvement Prediction" error in R Shiny
The following below is my code (I did reference DataProfessor's code here while making my code). Not really sure what my error is and how to fix.
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.
What are some alternatives?
Shiny_Desktop_App - Deploy your R Shiny app(s) locally on Windows
JupyterLab - JupyterLab computational environment.
gds_env - A containerised platform for Geographic Data Science
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
python-machine-learning-book - The "Python Machine Learning (1st edition)" book code repository and info resource
keytotext - Keywords to Sentences
ydata-quality - Data Quality assessment with one line of code
self-hosted - Sentry, feature-complete and packaged up for low-volume deployments and proofs-of-concept
machine_learning_complete - A comprehensive machine learning repository containing 30+ notebooks on different concepts, algorithms and techniques.
Code-Server - VS Code in the browser
project-atlas-sao-paulo - A project for the development of rich geospatial data from the city of São Paulo for use in Machine Learning models.
cocalc-docker - DEPRECATED (was -- Docker setup for running CoCalc as downloadable software on your own computer)