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

Code for the paper Open Sesame: Getting Inside BERT's Linguistic Knowledge.

Open Sesame This repository contains the code for the paper Open Sesame: Getting Inside BERT's Linguistic Knowledge. Credits We built the project on t

9 Jul 24, 2022

Use evolutionary algorithms instead of gridsearch in scikit-learn

sklearn-deap Use evolutionary algorithms instead of gridsearch in scikit-learn. This allows you to reduce the time required to find the best parameter

709 Jan 03, 2023

Dashboard for the COVID19 spread

COVID-19 Data Explorer App A streamlit Dashboard for the COVID-19 spread. The app is live at: [https://covid19.cwerner.ai]. New data is queried from G

22 Sep 29, 2022

Deploying PyTorch Model to Production with FastAPI in CUDA-supported Docker

Deploying PyTorch Model to Production with FastAPI in CUDA-supported Docker A example FastAPI PyTorch Model deploy with nvidia/cuda base docker. Model

68 Jan 04, 2023

Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising

1.2k Dec 29, 2022

CS506-Spring2022 - Code and Slides for Boston University CS 506

CS 506 - Computational Tools for Data Science Code, slides, and notes for Boston

17 May 06, 2022

FLSim a flexible, standalone library written in PyTorch that simulates FL settings with a minimal, easy-to-use API

Federated Learning Simulator (FLSim) is a flexible, standalone core library that simulates FL settings with a minimal, easy-to-use API. FLSim is domain-agnostic and accommodates many use cases such a

162 Jan 02, 2023

YOLOv5 in PyTorch > ONNX > CoreML > TFLite

This repository represents Ultralytics open-source research into future object detection methods, and incorporates lessons learned and best practices evolved over thousands of hours of training and e

34.1k Dec 31, 2022

Official Implementation of DE-CondDETR and DELA-CondDETR in "Towards Data-Efficient Detection Transformers"

DE-DETRs By Wen Wang, Jing Zhang, Yang Cao, Yongliang Shen, and Dacheng Tao This repository is an official implementation of DE-CondDETR and DELA-Cond

41 Dec 12, 2022

Predicting future trajectories of people in cameras of novel scenarios and views.

Pedestrian Trajectory Prediction Predicting future trajectories of pedestrians in cameras of novel scenarios and views. This repository contains the c

8 Sep 03, 2022

Plug and play transformer you can find network structure and official complete code by clicking List

Plug-and-play Module Plug and play transformer you can find network structure and official complete code by clicking List The following is to quickly

8 Mar 27, 2022

Fortuitous Forgetting in Connectionist Networks

Fortuitous Forgetting in Connectionist Networks Introduction This repository includes reference code for the paper Fortuitous Forgetting in Connection

14 Nov 26, 2022

Pytorch implementation of the paper "COAD: Contrastive Pre-training with Adversarial Fine-tuning for Zero-shot Expert Linking."

Expert-Linking Pytorch implementation of the paper "COAD: Contrastive Pre-training with Adversarial Fine-tuning for Zero-shot Expert Linking." This is

12 Jan 01, 2023

Ready-to-use code and tutorial notebooks to boost your way into few-shot image classification.

Easy Few-Shot Learning Ready-to-use code and tutorial notebooks to boost your way into few-shot image classification. This repository is made for you

399 Jan 08, 2023

Short and long time series classification using convolutional neural networks

time-series-classification Short and long time series classification via convolutional neural networks In this project, we present a novel framework f

35 Oct 22, 2022

FEDn is an open-source, modular and ML-framework agnostic framework for Federated Machine Learning

FEDn is an open-source, modular and ML-framework agnostic framework for Federated Machine Learning (FedML) developed and maintained by Scaleout Systems. FEDn enables highly scalable cross-silo and cr

75 Nov 09, 2022

Pytorch Implementation for NeurIPS (oral) paper: Pixel Level Cycle Association: A New Perspective for Domain Adaptive Semantic Segmentation

Pixel-Level Cycle Association This is the Pytorch implementation of our NeurIPS 2020 Oral paper Pixel-Level Cycle Association: A New Perspective for D

87 Oct 19, 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

Code for the paper Open Sesame: Getting Inside BERT's Linguistic Knowledge.

Use evolutionary algorithms instead of gridsearch in scikit-learn

Dashboard for the COVID19 spread

Deploying PyTorch Model to Production with FastAPI in CUDA-supported Docker

Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising

CS506-Spring2022 - Code and Slides for Boston University CS 506

FLSim a flexible, standalone library written in PyTorch that simulates FL settings with a minimal, easy-to-use API

YOLOv5 in PyTorch > ONNX > CoreML > TFLite

Official Implementation of DE-CondDETR and DELA-CondDETR in "Towards Data-Efficient Detection Transformers"

Predicting future trajectories of people in cameras of novel scenarios and views.

Plug and play transformer you can find network structure and official complete code by clicking List

Fortuitous Forgetting in Connectionist Networks

Pytorch implementation of the paper "COAD: Contrastive Pre-training with Adversarial Fine-tuning for Zero-shot Expert Linking."

Ready-to-use code and tutorial notebooks to boost your way into few-shot image classification.

Short and long time series classification using convolutional neural networks

FEDn is an open-source, modular and ML-framework agnostic framework for Federated Machine Learning

Pytorch Implementation for NeurIPS (oral) paper: Pixel Level Cycle Association: A New Perspective for Domain Adaptive Semantic Segmentation

The Face Mask recognition system uses AI technology to detect the person with or without a mask.

Updated for TTS(CE) = Also Known as TTN V3. The code requires the first server to be 'ttn' protocol.

Graph InfoClust: Leveraging cluster-level node information for unsupervised graph representation learning