manjaro-linux
ML-Workspace
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manjaro-linux | ML-Workspace | |
---|---|---|
2 | 7 | |
90 | 3,324 | |
- | 1.1% | |
4.8 | 2.7 | |
2 months ago | 5 months ago | |
Shell | Jupyter Notebook | |
MIT License | 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.
manjaro-linux
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Pinyin input method
I used this fella's script and so far it's working fine.
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Chinese (simplified) pinyin input
I tried following this script and also this Manjaro forums post. After restarting, I see the Input Method Configuration icon in the top right tray with options to "Switch to Traditional Chinese". However, my keyboard inputs are all still in English.
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?
Data-science-best-resources - Carefully curated resource links for data science in one place
JupyterLab - JupyterLab computational environment.
data-science-ipython-notebooks - Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
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
sh - A set of bash shell scripts to setup and manage a simple Mail, Web and DNS server using either Ubuntu, Manjaro, Alpine or Debian (WIP)
keytotext - Keywords to Sentences
python-geospatial - A collection of Python packages for geospatial analysis with binder-ready notebook examples
self-hosted - Sentry, feature-complete and packaged up for low-volume deployments and proofs-of-concept
Keras - Deep Learning for humans
Code-Server - VS Code in the browser
getting-started-with-genomics-tools-and-resources - Unix, R and python tools for genomics and data science
cocalc-docker - DEPRECATED (was -- Docker setup for running CoCalc as downloadable software on your own computer)