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…

A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)

The repository provides code for running inference with the Meta Segment Anything Model 2 (SAM 2), links for downloading the trained model checkpoints, and example notebooks that show how to use th…

Welcome to the Llama Cookbook! This is your go to guide for Building with Llama: Getting started with Inference, Fine-Tuning, RAG. We also show you how to solve end to end problems using Llama mode…

stable diffusion webui colab

llama3 implementation one matrix multiplication at a time

Offline speech recognition API for Android, iOS, Raspberry Pi and servers with Python, Java, C# and Node

A collection of tutorials on state-of-the-art computer vision models and techniques. Explore everything from foundational architectures like ResNet to cutting-edge models like RF-DETR, YOLO11, SAM …

Neural building blocks for speaker diarization: speech activity detection, speaker change detection, overlapped speech detection, speaker embedding

Lab Materials for MIT 6.S191: Introduction to Deep Learning

AI Observability & Evaluation

Sweep: AI coding assistant for JetBrains

Deploy serverless AI workflows at scale. Firebase for AI agents

A collection of examples that show how to use CrewAI framework to automate workflows.

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

SoTA LLM for converting natural language questions to SQL queries

LLM Finetuning with peft

Convert any text to a graph of knowledge. This can be used for Graph Augmented Generation or Knowledge Graph based QnA

Paper2Agent is a multi-agent AI system that automatically transforms research papers into interactive AI agents with minimal human input.

Jupyter notebooks that support my graph data science blog posts at https://bratanic-tomaz.medium.com/

Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).

This repository provides an advanced Retrieval-Augmented Generation (RAG) solution for complex question answering. It uses sophisticated graph based algorithm to handle the tasks.

PiML (Python Interpretable Machine Learning) toolbox for model development & diagnostics

Building Apps with LLMs

Compare the performance of different LLM that can be deployed locally on consumer hardware. Run yourself with Colab WebUI.

Generative Representational Instruction Tuning