analisis-numerico-computo-cientifico
r
| analisis-numerico-computo-cientifico | r | |
|---|---|---|
| 1 | 1 | |
| 44 | 212 | |
| - | 2.4% | |
| 0.0 | 2.5 | |
| over 1 year ago | 2 months ago | |
| Jupyter Notebook | Jupyter Notebook | |
| Apache License 2.0 | BSD 3-clause "New" or "Revised" License |
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analisis-numerico-computo-cientifico
r
-
Running R in Jupyer notebook
If it doesn't have to be local and you can live with colab, you can use R runtime there too - https://colab.research.google.com/#create=true&language=r , it installs dependencies quite fast. Or perhaps https://aws.amazon.com/sagemaker/ . Or binder - https://github.com/binder-examples/r
What are some alternatives?
osmnx-examples - Gallery of OSMnx tutorials, usage examples, and feature demonstations.
requirements - Simple requirements.txt based example
docker-curriculum - :dolphin: A comprehensive tutorial on getting started with Docker!
DeepLearning - Contains all my works, references for deep learning
ijava-binder - An IJava binder base for trying the Java Jupyter kernel on https://mybinder.org/
vqgan-clip-generator - Implements VQGAN+CLIP for image and video generation, and style transfers, based on text and image prompts. Emphasis on ease-of-use, documentation, and smooth video creation.
conda - Specifying a conda environment with `environment.yml`
Kernels - This is a set of simple programs that can be used to explore the features of a parallel platform.
team-compass - A repository for team interaction, syncing, and handling meeting notes across the JupyterHub ecosystem.
laser - The HPC toolbox: fused matrix multiplication, convolution, data-parallel strided tensor primitives, OpenMP facilities, SIMD, JIT Assembler, CPU detection, state-of-the-art vectorized BLAS for floats and integers
python-training - Python training for business analysts and traders