Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
---|---|---|---|---|---|---|---|---|---|---|
Metaflow | 6,499 | 5 hours ago | 57 | September 17, 2022 | 271 | apache-2.0 | Python | |||
:rocket: Build and manage real-life data science projects with ease! | ||||||||||
Cloudml Samples | 1,453 | a year ago | apache-2.0 | Python | ||||||
Cloud ML Engine repo. Please visit the new Vertex AI samples repo at https://github.com/GoogleCloudPlatform/vertex-ai-samples | ||||||||||
Seed_rl | 755 | 4 months ago | 22 | apache-2.0 | Python | |||||
SEED RL: Scalable and Efficient Deep-RL with Accelerated Central Inference. Implements IMPALA and R2D2 algorithms in TF2 with SEED's architecture. | ||||||||||
Vertex Ai Samples | 637 | 5 hours ago | 37 | apache-2.0 | Jupyter Notebook | |||||
Sample code and notebooks for Vertex AI, the end-to-end machine learning platform on Google Cloud | ||||||||||
Ml On Gcp | 461 | 4 months ago | 32 | apache-2.0 | Python | |||||
Machine Learning on Google Cloud Platform | ||||||||||
Caliban | 412 | a year ago | 10 | September 12, 2020 | 20 | other | Python | |||
Research workflows made easy, locally and in the Cloud. | ||||||||||
Ai Platform Samples | 403 | a year ago | apache-2.0 | Jupyter Notebook | ||||||
Official Repo for Google Cloud AI Platform. Find samples for Vertex AI, Google Cloud's new unified ML platform at: https://github.com/GoogleCloudPlatform/vertex-ai-samples | ||||||||||
Ai Learning Roadmap | 106 | 6 years ago | ||||||||
List of all AI related learning materials and practical tools to get started with AI apps | ||||||||||
Pragmaticai | 103 | a year ago | other | Makefile | ||||||
[Book-2019] Pragmatic AI: An Introduction to Cloud-based Machine Learning | ||||||||||
Meme Generator | 78 | a month ago | 2 | apache-2.0 | Python | |||||
MemeGen is a web application where the user gives an image as input and our tool generates a meme at one click for the user. |
This extension includes both a notebook server extension and a lab extension. In order to use it, you must enable both of them.
To install the server extension, run the following in your terminal:
pip3 install share_nb
To install the lab extension, run:
jupyter labextension install share_nb
Don't forget to restart jupyter:
sudo service jupyter restart
and refresh the browser tab.
# INSTANCE_NAME - name of either AI Platform Notebook instance or Cloud AI Deep Learning VM
git clone https://github.com/gclouduniverse/gcp-notebook-share-dlvm-extension.git
cd gcp-notebook-share-dlvm-extension
./deploy.sh INSTANCE_NAME