Notebook containers
Check out the ML Showcase for a list of projects you can fork into your account.

Base Containers

When you launch a Notebook, it runs inside a container preloaded with the notebook files and dependencies. The following is a list of containers that Paperspace maintains:
Name
Description
Container Tag
URL
Fast.ai
Paperspace's Fast.ai template is built for getting up and running with the enormously popular Fast.ai online MOOC.
paperspace/fastai:2.0-CUDA9.2-fastbook-v0.1.0
GitHub
TensorFlow 2.4.1
TensorFlow 2 with GPU support.
tensorflow/tensorflow:2.4.1-gpu-jupyter
****DockerHub
NVIDIA RAPIDS
NVIDIA's library to execute end-to-end data science and analytics pipelines.
nvcr.io/nvidia/rapidsai/rapidsai:0.18-cuda11.0-base-centos7
NVIDIA
PyTorch
Latest PyTorch release (1.8) with GPU support.
nvcr.io/nvidia/pytorch:21.02-py3
DockerHub
Hugging Face Transformers
A state-of-the-art NLP library from Hugging Face
paperspace/transformers-gpu:0.4.0
DockerHub

Other Containers

Name
Description
Container Tag
URL
TensorFlow (1.14 GPU)
Official docker images for TensorFlow version 1
paperspace/dl-containers:tensorflow1140-py36-cu100-cdnn7-jupyter
DockerHub
Analytics Vidhya CV
Analytics Vidhya container
jalfaizy/cv_docker:latest
GitHub
JupyterLab Data Science Stack
Jupyter Notebook Data Science Stack
jupyter/datascience-notebook
DockerHub
JupyterLab Data R Stack
Jupyter Notebook R Stack
jupyter/r-notebook
DockerHub

Custom Containers

The custom containers feature lets you pull your own image from a container registry such as Docker Hub. This section will help you prepare a custom Docker container to use with Gradient, show you how to bring that Container into Gradient, and create a notebook with your custom container. We recommend using Docker to get the container image from your system to Gradient. You must run jupyter on port 8888 and allow connections from ip address 0.0.0.0.
To support our notebook IDE, if your command is jupyter notebook you must also include the following flags
--no-browser --NotebookApp.trust_xheaders=True --NotebookApp.disable_check_xsrf=False --NotebookApp.allow_remote_access=True --NotebookApp.allow_origin='*'
If your command is jupyter lab use these instead
--no-browser --LabApp.trust_xheaders=True --LabApp.disable_check_xsrf=False --LabApp.allow_remote_access=True --LabApp.allow_origin='*'

Required field:

    Container Name = Path and tags of image, e.g., ufoym/deepo:all-jupyter-py36

Optional fields:

    Registry Username = your private container registry username. Can be left blank for public images.
    Registry Password = your private container registry password. Can be left blank for public images. You can use secrets in this fields using the substitution syntax secret:
    Command = must be Jupyter compatible; defaults to jupyter notebook --allow-root --ip=0.0.0.0 --no-browser --NotebookApp.trust_xheaders=True --NotebookApp.disable_check_xsrf=False --NotebookApp.allow_remote_access=True --NotebookApp.allow_origin='*' if left blank
    Container user = optional user; defaults to 'root' if left blank
Last modified 3mo ago