Sample code and notebooks for Vertex AI, the end-to-end machine learning platform on Google Cloud

Overview

Google Cloud Vertex AI Samples

License

Welcome to the Google Cloud Vertex AI sample repository.

Overview

The repository contains notebooks and community content that demonstrate how to develop and manage ML workflows using Google Cloud Vertex AI.

Repository structure

├── community-content - Sample code and tutorials contributed by the community
├── notebooks
│   ├── community - Notebooks contributed by the community
│   ├── official - Notebooks demonstrating use of each Vertex AI service
│   │   ├── automl
│   │   ├── custom
│   │   ├── ...

Contributing

Contributions welcome! See the Contributing Guide.

Getting help

Please use the issues page to provide feedback or submit a bug report.

Disclaimer

This is not an officially supported Google product. The code in this repository is for demonstrative purposes only.

Feedback

Please feel free to fill out our survey to give us feedback on the repo and its content.

BalaGAN: Image Translation Between Imbalanced Domains via Cross-Modal Transfer

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47 Dec 06, 2022
This is the repo for our work "Towards Persona-Based Empathetic Conversational Models" (EMNLP 2020)

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FaceQgen: Semi-Supervised Deep Learning for Face Image Quality Assessment

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Code for ICDM2020 full paper: "Sub-graph Contrast for Scalable Self-Supervised Graph Representation Learning"

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A Moonraker plug-in for real-time compensation of frame thermal expansion

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58 Jan 02, 2023
An Object Oriented Programming (OOP) interface for Ontology Web language (OWL) ontologies.

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Learning Compatible Embeddings, ICCV 2021

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Uses OpenCV and Python Code to detect a face on the screen

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Denis Woolley (CreepyD) 1 Feb 12, 2022
A python comtrade load library accelerated by go

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Minimal fastai code needed for working with pytorch

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Deep Learning pipeline for motor-imagery classification.

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Learning to trade under the reinforcement learning framework

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Uirá Caiado 470 Nov 28, 2022
Offical implementation of Shunted Self-Attention via Multi-Scale Token Aggregation

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Rethinking the U-Net architecture for multimodal biomedical image segmentation

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Implementation of the Paper: "Parameterized Hypercomplex Graph Neural Networks for Graph Classification" by Tuan Le, Marco Bertolini, Frank Noé and Djork-Arné Clevert

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Enhancing Aspect-Based Sentiment Analysis with Supervised Contrastive Learning.

Enhancing Aspect-Based Sentiment Analysis with Supervised Contrastive Learning. Enhancing Aspect-Based Sentiment Analysis with Supervised Contrastive

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Official codebase for running the small, filtered-data GLIDE model from GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models.

GLIDE This is the official codebase for running the small, filtered-data GLIDE model from GLIDE: Towards Photorealistic Image Generation and Editing w

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Source code and dataset of the paper "Contrastive Adaptive Propagation Graph Neural Networks forEfficient Graph Learning"

CAPGNN Source code and dataset of the paper "Contrastive Adaptive Propagation Graph Neural Networks forEfficient Graph Learning" Paper URL: https://ar

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Pytorch implementation of our paper under review — Lottery Jackpots Exist in Pre-trained Models

Lottery Jackpots Exist in Pre-trained Models (Paper Link) Requirements Python = 3.7.4 Pytorch = 1.6.1 Torchvision = 0.4.1 Reproduce the Experiment

Yuxin Zhang 27 Jun 28, 2022