Lists (1)
Starred repositories
37
stars
written in Jupyter Notebook
Clear filter
21 Lessons, Get Started Building with Generative AI
Ready-to-run cloud templates for RAG, AI pipelines, and enterprise search with live data. 🐳Docker-friendly.⚡Always in sync with Sharepoint, Google Drive, S3, Kafka, PostgreSQL, real-time data APIs,…
This is a repo with links to everything you'd ever want to learn about data engineering
A collection of notebooks/recipes showcasing some fun and effective ways of using Claude.
A simple screen parsing tool towards pure vision based GUI agent
This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. RAG systems combine information retrieval with generative models to provide accurate and cont…
In-depth tutorials on LLMs, RAGs and real-world AI agent applications.
This repository provides tutorials and implementations for various Generative AI Agent techniques, from basic to advanced. It serves as a comprehensive guide for building intelligent, interactive A…
Get started with building Fullstack Agents using Gemini 2.5 and LangGraph
Qwen3-VL is the multimodal large language model series developed by Qwen team, Alibaba Cloud.
StableLM: Stability AI Language Models
Examples and guides for using the Gemini API
[WIP] Resources for AI engineers. Also contains supporting materials for the book AI Engineering (Chip Huyen, 2025)
Deploy serverless AI workflows at scale. Firebase for AI agents
Automatic Speech Recognition with Speaker Diarization based on OpenAI Whisper
Prompt Engineering | Prompt Versioning | Use GPT or other prompt based models to get structured output. Join our discord for Prompt-Engineering, LLMs and other latest research
Neo4j graph construction from unstructured data using LLMs
Everything you need to know to build your own RAG application
[CCS'24] A dataset consists of 15,140 ChatGPT prompts from Reddit, Discord, websites, and open-source datasets (including 1,405 jailbreak prompts).
An open-source data logging library for machine learning models and data pipelines. 📚 Provides visibility into data quality & model performance over time. 🛡️ Supports privacy-preserving data collec…
A comprehensive guide to building RAG-based LLM applications for production.
Face Mask Detection system based on computer vision and deep learning using OpenCV and Tensorflow/Keras
Amazon Bedrock Agentcore accelerates AI agents into production with the scale, reliability, and security, critical to real-world deployment.
Open-source tool to visualise your RAG 🔮
Predict Cryptocurrency Price with Deep Learning
An example of multi-agent orchestration with llama-index