Official code repo for the O'Reilly Book - "Hands-On Large Language Models"

Educational framework exploring ergonomic, lightweight multi-agent orchestration. Managed by OpenAI Solution team.

Tools for using Ollama from my book "Ollama in Action: Building Safe, Private AI with Function Calling"

Javascript based viewer for remote SPARQL endpoint contents

The Ontology, Dataset and Knowledge Search Engine

Insightful Tutorials and Papers about Knowledge Graphs

A fast in-memory rule engine

OWL Class Expressions Learning in Python

PSyKE: a (Python) platform for symbolic knowledge extraction

HGX is a multi-purpose, open-source Python library for higher-order network analysis

Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.

Explainable complex question answering over RDF files via Llama Index.

RdfPandas is a module providing RDF support for Pandas

A collection of resources useful for leveraging big data and AI for drug discovery. It mainly serves as an orientation for new lab folks. It may be biased towards my lab interest.

Repository for the implementation for the poster - "Toward Exploring Knowledge Graphs with LLMs", SEMANTiCS'24.

AutoRDF2GML is a novel framework that semi-automatically transforms RDF data into heterogeneous graph datasets suitable for graph-based machine learning such as graph neural network (GNNs).

A custom Streamlit component for link analysis, built with Cytoscape.js and Streamlit.

Text preprocessing, representation and visualization from zero to hero.

Animation engine for explanatory math videos

The most advanced AI retrieval system. Containerized, Retrieval-Augmented Generation (RAG) with a RESTful API.

Repository for experiments regarding the assessment of the suitability of LLMs for Knowledge Graph Completion task, using Mixtral-8x7b, GPT-3.5-turbo, and GPT-4o.

DSPy: The framework for programming—not prompting—language models

🌸 Run LLMs at home, BitTorrent-style. Fine-tuning and inference up to 10x faster than offloading

Unified Efficient Fine-Tuning of 100+ LLMs (ACL 2024)

List of references and online resources related to data science, machine learning and deep learning.

A project that uses Langchain to construct SPARQL queries against SPARQL endpoints

mOWL: Machine Learning library with Ontologies

☘️ A visualization grammar based on G2 for streamlit.

Implement a ChatGPT-like LLM in PyTorch from scratch, step by step

Biomedical Term Annotator