Notebook Containers
Check out the ML Showcase for a list of projects you can fork into your account.
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. |
| GitHub |
All-in-one | All ML/DL frameworks in a single template with CUDA/cuDNN and other libraries. Python 36. |
| GitHub |
TensorFlow 2.0 | Preview of TensorFlow 2.0 with GPU support. Python 36. |
| |
NVIDIA RAPIDS | NVIDIA's open source libraries to execute end-to-end data science and analytics pipelines. v0.8. |
| |
PyTorch | Latest PyTorch release (1.2) with GPU support. Python 36. |
| |
TensorFlow | Latest stable release (1.14.0) with GPU support. Python 36. |
| |
Hugging Face Transformers | A state-of-the-art NLP library from Hugging Face |
|
Name | Description | Container Tag | URL |
TensorFlow (1.5.0 GPU Py3) | Official docker images for deep learning framework TensorFlow (http://www.tensorflow.org) |
| |
TensorFlow (1.5.0 CPU Py3) | Official docker images for deep learning framework TensorFlow (http://www.tensorflow.org) |
| |
Deepo (Python 2.7) | A series of Docker images (and their generator) that allows you to quickly set up your deep learning research environment. (https://hub.docker.com/r/ufoym/deepo) |
| GitHub |
JupyterLab Data Science Stack | Jupyter Notebook Data Science Stack |
| |
JupyterLab Data R Stack | Jupyter Notebook R Stack |
|
Custom containers feature lets you pull your own image from a container registry such as Docker Hub. This article 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.
Container Name = Path and tags of image eg
ufoym/deepo:all-jupyter-py36
Username = your Docker Hub username, can be left blank for public images
Password = your Docker Hub password, can be left blank for public images
Default Entrypoint = must be Jupyter compatible, defaults to 'jupyter notebook' if left blank
Container user = optional user, defaults to 'root' if left blank
See a tutorial on using custom containers here.
