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streamline the fine-tuning process for multimodal models: PaliGemma 2, Florence-2, and Qwen2.5-VL
Detection of objects in store shelf. This repository consists of 3 different approaches : Selective Search, Watershed and Deep Learning
Recognition of product positions on shelf images using neural networks
This is a sample repository demonstrate how to train and predict a custom model with Cognitive Service for Vision, using Python.
This repository contains various advanced techniques for Retrieval-Augmented Generation (RAG) systems.
Kickstart your LLMOps initiative with a flexible, robust, and productive Python package.
Beginner data engineering project - batch edition
Welcome to the Public Roadmap for All Things Docker! We welcome your ideas.
CLI tool to extract (meta)data from PDF and manipulate PDF files
A library for efficient similarity search and clustering of dense vectors.
A QA RAG system that uses a custom chromadb to retrieve relevant passages and then uses an LLM to generate the answer.
A curated list of Large Language Model resources, covering model training, serving, fine-tuning, and building LLM applications.
Interaction-Focused Anomaly Detection on Bipartite Node-and-Edge-Attributed Graphs
A basic application using langchain, streamlit, and large language models to build a system for Retrieval-Augmented Generation (RAG) based on documents, also includes how to use Groq and deploy you…
A family of compressed models obtained via pruning and knowledge distillation
A scalable generative AI framework built for researchers and developers working on Large Language Models, Multimodal, and Speech AI (Automatic Speech Recognition and Text-to-Speech)
Custom Trained LLM application with Llama, and grounding via RAG. This project uses Streamlit to create a simple UX LLM based chatbot with Llama3 & RAG grounding on Stehen Hawking's books
AutoRAG: An Open-Source Framework for Retrieval-Augmented Generation (RAG) Evaluation & Optimization with AutoML-Style Automation
A system for agentic LLM-powered data processing and ETL
Self-paced bootcamp on Generative AI. Tutorials on ML fundamentals, LLMs, RAGs, LangChain, LangGraph, Fine-tuning Llama 3 & AI Agents (CrewAI)
