IRkernel
ML-Workspace
Our great sponsors
IRkernel | ML-Workspace | |
---|---|---|
5 | 7 | |
1,622 | 3,324 | |
0.7% | 1.1% | |
0.0 | 2.7 | |
6 days ago | 6 months ago | |
Jupyter Notebook | Jupyter Notebook | |
GNU General Public License v3.0 or later | 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.
IRkernel
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Adding R to Anacona Navigator for Mac
Found a package na from GitHub that worked on my Macbook. Thanks everyone!
- How can I get rid of R in my web programming?
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What do you do as an economist?
jupyter is an interactive environment for programming, it organizes stuff into "notebooks", usually used with Python, but supports multiple code evaluation engines (called kernels, for example here's an R one: https://irkernel.github.io/ ).
- Installing R Packages in Jupyter Notebook (online)
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?
pre-commit-jupyter - Clean up cell outputs of jupyter notebook
JupyterLab - JupyterLab computational environment.
nbestimate - Estimate of Public Jupyter Notebooks on GitHub
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
learn-you-a-haskell-notebook - Jupyter adaptation of Learn You a Haskell for Great Good!
keytotext - Keywords to Sentences
ocaml-jupyter - An OCaml kernel for Jupyter (IPython) notebook
self-hosted - Sentry, feature-complete and packaged up for low-volume deployments and proofs-of-concept
Kalman-and-Bayesian-Filters-in-Python - Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.
Code-Server - VS Code in the browser
IElixir - Jupyter's kernel for Elixir programming language
cocalc-docker - DEPRECATED (was -- Docker setup for running CoCalc as downloadable software on your own computer)