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

Last update: Dec 31, 2022

Overview

Google Cloud Vertex AI Samples

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.

Owner

Google Cloud Platform

GitHub Repository https://cloud.google.com/vertex-ai

Face Transformer for Recognition

Face-Transformer This is the code of Face Transformer for Recognition (https://arxiv.org/abs/2103.14803v2). Recently there has been great interests of

153 Nov 30, 2022

A (PyTorch) imbalanced dataset sampler for oversampling low frequent classes and undersampling high frequent ones.

Imbalanced Dataset Sampler Introduction In many machine learning applications, we often come across datasets where some types of data may be seen more

2k Jan 08, 2023

StyleTransfer - Open source style transfer project, based on VGG19

9 Dec 13, 2021

A light and fast one class detection framework for edge devices. We provide face detector, head detector, pedestrian detector, vehicle detector......

A Light and Fast Face Detector for Edge Devices Big News: LFD, which is a big update of LFFD, now is released (2021.03.09). It is strongly recommended

1.3k Dec 25, 2022

Code to generate datasets used in "How Useful is Self-Supervised Pretraining for Visual Tasks?"

Synthetic dataset rendering Framework for producing the synthetic datasets used in: How Useful is Self-Supervised Pretraining for Visual Tasks? Alejan

21 Apr 29, 2022

Predicting Student Attentiveness using OpenCV

Predicting-Student-Attentiveness-using-OpenCV The model will predict if a student is attentive or not through facial parameter received through the st

2 Aug 20, 2022

AI-UPV at IberLEF-2021 EXIST task: Sexism Prediction in Spanish and English Tweets Using Monolingual and Multilingual BERT and Ensemble Models

AI-UPV at IberLEF-2021 EXIST task: Sexism Prediction in Spanish and English Tweets Using Monolingual and Multilingual BERT and Ensemble Models Descrip

1 Jun 08, 2022

Code for `BCD Nets: Scalable Variational Approaches for Bayesian Causal Discovery`, Neurips 2021

This folder contains the code for 'Scalable Variational Approaches for Bayesian Causal Discovery'. Installation To install, use conda with conda env c

14 Sep 21, 2022

Code for Subgraph Federated Learning with Missing Neighbor Generation (NeurIPS 2021)

To run the code Unzip the package to your local directory; Run 'pip install -r requirements.txt' to download required packages; Open file ~/nips_code/

32 Dec 26, 2022

K-Means Clustering and Hierarchical Clustering Unsupervised Learning Solution in Python3.

Unsupervised Learning - K-Means Clustering and Hierarchical Clustering - The Heritage Foundation's Economic Freedom Index Analysis 2019 - By David Sal

1 Jan 12, 2022

Dynamic Attentive Graph Learning for Image Restoration, ICCV2021 [PyTorch Code]

Dynamic Attentive Graph Learning for Image Restoration This repository is for GATIR introduced in the following paper: Chong Mou, Jian Zhang, Zhuoyuan

84 Dec 09, 2022

Histocartography is a framework bringing together AI and Digital Pathology

Documentation | Paper Welcome to the histocartography repository! histocartography is a python-based library designed to facilitate the development of

155 Nov 23, 2022

Official implementation of the paper "Light Field Networks: Neural Scene Representations with Single-Evaluation Rendering"

Light Field Networks Project Page | Paper | Data | Pretrained Models Vincent Sitzmann*, Semon Rezchikov*, William Freeman, Joshua Tenenbaum, Frédo Dur

130 Dec 29, 2022

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

Related tags

Overview

Google Cloud Vertex AI Samples

Overview

Repository structure

Contributing

Getting help

Disclaimer

Feedback

Owner

Google Cloud Platform

Face Transformer for Recognition

A (PyTorch) imbalanced dataset sampler for oversampling low frequent classes and undersampling high frequent ones.

StyleTransfer - Open source style transfer project, based on VGG19

A light and fast one class detection framework for edge devices. We provide face detector, head detector, pedestrian detector, vehicle detector......

Code to generate datasets used in "How Useful is Self-Supervised Pretraining for Visual Tasks?"

Predicting Student Attentiveness using OpenCV

AI-UPV at IberLEF-2021 EXIST task: Sexism Prediction in Spanish and English Tweets Using Monolingual and Multilingual BERT and Ensemble Models

Code for `BCD Nets: Scalable Variational Approaches for Bayesian Causal Discovery`, Neurips 2021

Code for Subgraph Federated Learning with Missing Neighbor Generation (NeurIPS 2021)

K-Means Clustering and Hierarchical Clustering Unsupervised Learning Solution in Python3.

Dynamic Attentive Graph Learning for Image Restoration, ICCV2021 [PyTorch Code]

Histocartography is a framework bringing together AI and Digital Pathology

Official implementation of the paper "Light Field Networks: Neural Scene Representations with Single-Evaluation Rendering"

Text-Based Ideal Points

Realistic lighting in ursina!

Image-Stitching - Panorama composition using SIFT Features and a custom implementaion of RANSAC algorithm

SoGCN: Second-Order Graph Convolutional Networks

SMPL-X: A new joint 3D model of the human body, face and hands together

Compact Bilinear Pooling for PyTorch

Aws-machine-learning-university-accelerated-tab - Machine Learning University: Accelerated Tabular Data Class