Brawl_Stars
ML-Workspace
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| Brawl_Stars | ML-Workspace | |
|---|---|---|
| 2 | 7 | |
| 4 | 3,324 | |
| - | 1.1% | |
| 10.0 | 2.7 | |
| over 1 year ago | 5 months ago | |
| Jupyter Notebook | Jupyter Notebook | |
| - | Apache License 2.0 |
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.
Brawl_Stars
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Hey everyone I’m Data Scientist and I play Brawl Stars in my free time. I’ve created a Brawl Stars report using python using Brawl Stars API. The plots in the report help users bring balance among their brawlers and community as well. This requires patience. Please find below the link to the repo.
https://github.com/Chanakya-Andey/Brawl_Stars 1. Download ipynb, csv, py files 2. Make changes in config.py and save it 3. Run ipynb or convert it into py and run it
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?
blog - SZÉKELYDATA | Erdély, Székelyföld és a nagyvilág a Big Data korszakában
JupyterLab - JupyterLab computational environment.
Data-Science-For-Beginners - 10 Weeks, 20 Lessons, Data Science for All!
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
machine_learning_complete - A comprehensive machine learning repository containing 30+ notebooks on different concepts, algorithms and techniques.
keytotext - Keywords to Sentences
Data-science - Collection of useful data science topics along with articles, videos, and code
self-hosted - Sentry, feature-complete and packaged up for low-volume deployments and proofs-of-concept
data-science-notes - Notes of IBM Data Science Professional Certificate Courses on Coursera
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