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

Tensorflow implementation of Character-Aware Neural Language Models.

Character-Aware Neural Language Models Tensorflow implementation of Character-Aware Neural Language Models. The original code of author can be found h

751 Dec 26, 2022

CVPR2022 paper "Dense Learning based Semi-Supervised Object Detection"

[CVPR2022] DSL: Dense Learning based Semi-Supervised Object Detection DSL is the first work on Anchor-Free detector for Semi-Supervised Object Detecti

69 Dec 08, 2022

Code for the CVPR2022 paper "Frequency-driven Imperceptible Adversarial Attack on Semantic Similarity"

Introduction This is an official release of the paper "Frequency-driven Imperceptible Adversarial Attack on Semantic Similarity" (arxiv link). Abstrac

21 Nov 23, 2022

Activity image-based video retrieval

Cross-modal-retrieval Our approach is focus on Activity Image-to-Video Retrieval (AIVR) task. The compared methods are state-of-the-art single modalit

75 Oct 21, 2021

TakeInfoatNistforICS - Take Information in NIST NVD for ICS

Take Information in NIST NVD for ICS This project developed with Python. When yo

5 Sep 05, 2022

Tensorflow port of a full NetVLAD network

netvlad_tf The main intention of this repo is deployment of a full NetVLAD network, which was originally implemented in Matlab, in Python. We provide

225 Nov 08, 2022

The Power of Scale for Parameter-Efficient Prompt Tuning

The Power of Scale for Parameter-Efficient Prompt Tuning Implementation of soft embeddings from https://arxiv.org/abs/2104.08691v1 using Pytorch and H

208 Dec 30, 2022

Attendance Monitoring with Face Recognition using Python

Attendance Monitoring with Face Recognition using Python A python GUI integrated attendance system using face recognition to take attendance. In this

2 Jun 21, 2022

Pose Transformers: Human Motion Prediction with Non-Autoregressive Transformers

Pose Transformers: Human Motion Prediction with Non-Autoregressive Transformers This is the repo used for human motion prediction with non-autoregress

26 Dec 14, 2022

Code for ICCV 2021 paper Graph-to-3D: End-to-End Generation and Manipulation of 3D Scenes using Scene Graphs

Graph-to-3D This is the official implementation of the paper Graph-to-3d: End-to-End Generation and Manipulation of 3D Scenes Using Scene Graphs | arx

33 Jan 06, 2023

Experiments on continual learning from a stream of pretrained models.

Ex-model CL Ex-model continual learning is a setting where a stream of experts (i.e. model's parameters) is available and a CL model learns from them

6 Dec 04, 2022

Official implementation of the paper "Topographic VAEs learn Equivariant Capsules"

Topographic Variational Autoencoder Paper: https://arxiv.org/abs/2109.01394 Getting Started Install requirements with Anaconda: conda env create -f en

69 Dec 12, 2022

Paddle implementation for "Highly Efficient Knowledge Graph Embedding Learning with Closed-Form Orthogonal Procrustes Analysis" (NAACL 2021)

ProcrustEs-KGE Paddle implementation for Highly Efficient Knowledge Graph Embedding Learning with Orthogonal Procrustes Analysis 🙈 A more detailed re

4 Jun 09, 2021

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

Tensorflow implementation of Character-Aware Neural Language Models.

CVPR2022 paper "Dense Learning based Semi-Supervised Object Detection"

Code for the CVPR2022 paper "Frequency-driven Imperceptible Adversarial Attack on Semantic Similarity"

Activity image-based video retrieval

TakeInfoatNistforICS - Take Information in NIST NVD for ICS

Tensorflow port of a full NetVLAD network

The Power of Scale for Parameter-Efficient Prompt Tuning

Attendance Monitoring with Face Recognition using Python

Pose Transformers: Human Motion Prediction with Non-Autoregressive Transformers

Code for ICCV 2021 paper Graph-to-3D: End-to-End Generation and Manipulation of 3D Scenes using Scene Graphs

Experiments on continual learning from a stream of pretrained models.

Official implementation of the paper "Topographic VAEs learn Equivariant Capsules"

Paddle implementation for "Highly Efficient Knowledge Graph Embedding Learning with Closed-Form Orthogonal Procrustes Analysis" (NAACL 2021)

Deep Learning segmentation suite designed for 2D microscopy image segmentation

🤖 A Python library for learning and evaluating knowledge graph embeddings

Black-Box-Tuning - Black-Box Tuning for Language-Model-as-a-Service

PyTorch Personal Trainer: My framework for deep learning experiments

SLIDE : In Defense of Smart Algorithms over Hardware Acceleration for Large-Scale Deep Learning Systems

Chinese license plate recognition

Official implementation of Deep Reparametrization of Multi-Frame Super-Resolution and Denoising