The new GPULab release version jl3-v2.1.x environment consists of JupyterLab 3, installed atop an Ubuntu Linux operating system with Nvidia CUDA GPU drivers with Python 3, Xeus Python, R, Julia, Octave and Bash kernels.
Highlights:
- LSP (Language Server) support for Python, Julia, and R
- Xeus Python utilizing JupyterLab’s new built-in debugger
Essentials:
-
Kernels
- Python 3
- Xeus Python
- R
- Julia
- Octave
- Bash
-
Python Libraries and Frameworks
- TensorFlow
- PyTorch
- Keras
- Skikit-Learn
- fastai
-
Ubuntu based Linux envionment
- Clients
- git
- curl & wget
- ftp, sftp, scp (command line file transfer)
- ssh
- mc (minio / aws s3)
- kubectl (kubernetes)
- gh (github cli)
- ML Utilities
- Text Editors
- vi, emacs, nano
- Text Manipulation / Search
- head, tail, wc, tr, grep, sort. cut. sed & awk. diff, uniq
- Image / Video
- ffmpeg
- inkscape
- imagemagick
- Compilers / Runtime / Dev
- gcc, java, make, nodejs, perl
- Clients