yasarigno
Hello hello. ☺️ Here is a mathematician and a machine learning engineer living in France. You can reach me via email: fyasar.fr at gmail dot com
France
yasarigno's Stars
retkowsky/Azure-OpenAI-demos
Azure OpenAI (demos, documentation, accelerators).
Azure-Samples/ARGUS
emmanueldeletang/Buildcopilotwith-cache-and-your-data
sample code to bulid your copilot and load your data inside and put question and answer in cache to save time
poyone/PoysBlog-Backend
UW-Madison-DSI/faculty-search
Faculty Search is an innovative tool designed to streamline the process of identifying domain experts within the UW-Madison research community.
thomaspark/flexboxfroggy
A game for learning CSS flexbox 🐸
Azure-Samples/openai-chat-app-quickstart
A simple chat application that uses managed identity for Azure OpenAI access. Designed for deployment on Azure Container Apps with the Azure Developer CLI.
Azure-Samples/todo-python-mongo-aca
A blueprint for getting a React.js web app with Python (FastAPI) API and a MongoDB API in Cosmos database onto Azure. The frontend, currently a ToDo application, is designed as a placeholder that can easily be removed and replaced with your own frontend code.
bracesproul/gen-ui-python
🧬🐍 Generative UI web application built with LangChain Python, AI SDK & Next.js
pinecone-io/examples
Jupyter Notebooks to help you get hands-on with Pinecone vector databases
adityatelange/hugo-PaperMod
A fast, clean, responsive Hugo theme.
dhruvarora6670/face-attendance-system
This project is a Real-Time Face Attendance System built using Python. It leverages computer vision and cloud technologies to automate and streamline attendance tracking.
TarikKaanKoc/prompt-engineering
Few-Shot Prompting - Chain-of-Thought (CoT) Prompting - Hallucinations - Self-Consistency - Generated Knowledge Prompting - Tree of Thoughts (ToT) - Summarization - Sentiment Analysis - Entity and Keyword Detection - Inferring Specifications - Intent Detection - Constitutional Prompting - Jailbreaking - Promp
mem0ai/mem0
The Memory layer for your AI apps
kyrolabs/awesome-langchain
😎 Awesome list of tools and projects with the awesome LangChain framework
samgrimmer/streamlit-chat-app
streamlit chat app using Langchain and Azure Cosmos for conversation history
jonathanscholtes/LangChain-RAG-Pattern-with-React-FastAPI-and-Cosmos-DB-Vector-Store
Complete project (web, api, data) covering the implementation of the RAG (Retrieval Augmented Generation) pattern using Azure Cosmos DB for MongoDB vCore and LangChain. The RAG pattern combines leverages the new vector search capabilities for Azure Cosmos DB.
Azure-Samples/azure-search-openai-demo
A sample app for the Retrieval-Augmented Generation pattern running in Azure, using Azure AI Search for retrieval and Azure OpenAI large language models to power ChatGPT-style and Q&A experiences.
microsoft/promptflow
Build high-quality LLM apps - from prototyping, testing to production deployment and monitoring.
Azure-Samples/cosmosdb-python-fastapi
abunuwas/microservice-apis
Code repository for my book "Microservice APIs" (https://www.manning.com/books/microservice-apis)
pydantic/FastUI
Build better UIs faster.
TimoReusch/FastAPI-project-template
A project template showing off a way to structure large FastAPI applications with SQLAlchemy for MariaDB, Pydantic and mail.
ricardo-vaca/serverless-fastapi
Building an serverless (API Gateway and Lambda) app with Python (using Mangum), Docker (with ECR) and Terraform
Miksus/red-bird
Repository Patterns for Python
Azure-Samples/container-apps-store-api-microservice
Sample microservices solution using Azure Container Apps, Dapr, Cosmos DB, and Azure API Management
SoccerNet/sn-gamestate
[CVPRW'24] SoccerNet Game State Reconstruction: End-to-End Athlete Tracking and Identification on a Minimap (CVPR24 - CVSports workshop)
PacktPublishing/Full-Stack-FastAPI-React-and-MongoDB
Full Stack FastAPI, React, and MongoDB, published by Packt
PacktPublishing/FastAPI-Cookbook
FastAPI Cookbook, published by Packt
zhanymkanov/fastapi-best-practices
FastAPI Best Practices and Conventions we used at our startup