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Cracking the Coding Interview 6th Ed. Python Solutions
Open Source framework for voice and multimodal conversational AI
A Multi-modal MCP client for voice powered agentic workflows
A Solution Accelerator for the RAG pattern running in Azure, using Azure AI Search for retrieval and Azure OpenAI large language models to power ChatGPT-style and Q&A experiences. This includes mos…
The RAG Experiment Accelerator is a versatile tool designed to expedite and facilitate the process of conducting experiments and evaluations using Azure Cognitive Search and RAG pattern.
A collection of production-ready Generative AI Agent templates built for Google Cloud. It accelerates development by providing a holistic, production-ready solution, addressing common challenges (D…
Official community-driven Azure AI Examples
Azure OpenAI Samples is a collection of code samples illustrating how to use Azure Open AI in creating AI solution for various use cases across industries. This repository is mained by a community …
A Conversational Speech Generation Model
Anthropic's educational courses
TEN Agent is a conversational voice AI agent powered by TEN, integrating Deepseek, Gemini, OpenAI, RTC, and hardware like ESP32. It enables realtime AI capabilities like seeing, hearing, and speaki…
🪄 Create rich visualizations with AI
10 Lessons to Get Started Building AI Agents
A simple screen parsing tool towards pure vision based GUI agent
This is the official repository for The Hundred-Page Language Models Book by Andriy Burkov
Learn AI/ML for beginners with a roadmap and free resources.
💼 Your own AI-powered voice interviewer for hiring.
Airflow provider for Azure Machine Learning
CalHacks 11.0 | Sift - Supercharged Semantic Search
An AI-powered research assistant that performs iterative, deep research on any topic by combining search engines, web scraping, and large language models. The goal of this repo is to provide the si…
Google Gen AI Python SDK provides an interface for developers to integrate Google's generative models into their Python applications.
Research and development (R&D) is crucial for the enhancement of industrial productivity, especially in the AI era, where the core aspects of R&D are mainly focused on data and models. We are commi…
Debug, evaluate, and monitor your LLM applications, RAG systems, and agentic workflows with comprehensive tracing, automated evaluations, and production-ready dashboards.
The standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.
AI-Crash-Course, published by Packt