VESSL images for experiment and workspace
All VESSL Images have the most used data science python package installed. The full list of DS packages are as follows.
numpy, scipy, pandas, matplotlib, scikit-learn, opencv-python, seaborn, tqdm
py3x
tags indicate python version 3.xfull-cpu
orfull-gpu
tags have three compatible machine learning frameworks installed. (PyTorch, TensorFlow, MXNet)tf1
,tf2
tags indicate tensorflow version based on NGCtorch
tags indicate torch version based on NGC
WIP
Python | CUDA | DS | ML Frameworks | Jupyterlab | Image Tag |
---|---|---|---|---|---|
3.7 | x | ✅ | ✅ | ✅ | python:3.7.11-slim-buster |
3.8 | x | ✅ | ✅ | ✅ | python:3.8.16-slim-buster |
3.9 | x | ✅ | ✅ | ✅ | python:3.9.16-slim-buster |
3.10 | x | ✅ | ✅ | ✅ | python:3.10.9-slim-buster |
VESSL-supported GPU images are based on NVIDIA's NGC Image. You may want to check this site(link) to investigate what's inside.
Images directly used in VESSL HUB models.
List
torch2.1.0-cuda12.2
: Based onngc-pytorch-kernel:23.10-py3-202311150327
, added git-lfs support.