Jixin Jia's repositories
promptflow-hybrid-search-rag
A working prototype of performing Semantic Hybrid Search (RAG) with PromptFlow and Azure AI Search
realtime-vehicle-engine
Repository for building a real-time engine anomaly detection solution on Alibaba Cloud
bing-image-search
Client utility for scraping large sum of images using Bing Search. Supply search query and number of batches to download, let the program handles the rest.
ocr-any-id-docs
A practical approach to OCR any type of ID docs
siamese-nn-demo
Siamese Network for performing One Shot Learning on Cartoon Chracters
aad-python-app
Azure AD Login with Python ADAL
aiacc-gpu-jixin
Demonstration of an accelerated training and inference using AIACC engine on NVIDIA GPU
aifactory-bootstrap
Template for AIFactory Bootstrap
aifactory-iac
AIFactory IaC template
aifactory-mlops
AIFactory MLOps template
aifactory-project
AIFactory project code template
azureml-examples
Official community-driven Azure Machine Learning examples, tested with GitHub Actions.
azureml-mlops-workshop
Customer workshop for AzureML MLOps based on a Custom Siamese Network
coeus-kg-search
This repository contains example code to implement a Knowledge-Graph-enhanced search solution
easydispatch
Reinforcement Learning and Optimization for Field Service Dispatching
keras-covid19
Transfer learning quick demo
phi3-finetuning
This hands-on walks you through fine-tuning an open source LLM on Azure and serving the fine-tuned model on Azure. It is intended for Data Scientists and ML engineers who have experience with fine-tuning but are unfamiliar with Azure ML.
python-app-azure
A small Python web app for deployment to Azure App Service (Linux) using Azure DevOps CI/CD
search-qna-maker-accelerator
Cognitive Search Question Answering Solution Accelerator
synthetic-qa-generation
This hands-on lab aims to alleviate some of that headache by demonstrating how to create/augment a QnA dataset from complex unstructured data, assuming a real-world scenario. The sample aims to be step-by-step for developers and data scientists, as well as those in the field, to try it out with a little help.