Stars
A modular graph-based Retrieval-Augmented Generation (RAG) system
LLMs4OM: Matching Ontologies with Large Language Models
Run any open-source LLMs, such as DeepSeek and Llama, as OpenAI compatible API endpoint in the cloud. 8000
Get up and running with Llama 3.3, DeepSeek-R1, Phi-4, Gemma 3, Mistral Small 3.1 and other large language models.
Plumb a PDF for detailed information about each char, rectangle, line, et cetera — and easily extract text and tables.
A Unified Toolkit for Deep Learning Based Document Image Analysis
A pure-python PDF library capable of splitting, merging, cropping, and transforming the pages of PDF files
Table structure recognition dataset of the paper: Complicated Table Structure Recognition
Table Transformer (TATR) is a deep learning model for extracting tables from unstructured documents (PDFs and images). This is also the official repository for the PubTables-1M dataset and GriTS ev…
Companion code to the paper "Extracting Scientific Figures with Distantly Supervised Neural Networks" 🤖
SpatialLM: Large Language Model for Spatial Understanding
HiPlot makes understanding high dimensional data easy
Neo4j Graph Data Science with Graph ML & GNNs
Tools and utilities to enable loading data and building graph applications with Amazon Neptune.
Samples and documentation for using the Amazon Neptune graph database service
Multi-class Classification with fine-tuned BERT & GNN
A quick visualization tool for Jupyter and Neo4J
React-based web application that enables users to visualize both property graph and RDF data and explore connections between data without having to write graph queries.
code and resources used in the Going Meta sessions