A modular graph-based Retrieval-Augmented Generation (RAG) system

GNN-RAG: Graph Neural Retrieval for Large Language Modeling Reasoning

llama3 implementation one matrix multiplication at a time

Code for ICSE 2024 paper "Fast Deterministic Black-box Context-free Grammar Inference"

lightweight, standalone C++ inference engine for Google's Gemma models.

The official PyTorch implementation of Google's Gemma models

🦖 𝗟𝗲𝗮𝗿𝗻 about 𝗟𝗟𝗠𝘀, 𝗟𝗟𝗠𝗢𝗽𝘀, and 𝘃𝗲𝗰𝘁𝗼𝗿 𝗗𝗕𝘀 for free by designing, training, and deploying a real-time financial advisor LLM system ~ 𝘴𝘰𝘶𝘳𝘤𝘦 𝘤𝘰𝘥𝘦 + 𝘷𝘪𝘥𝘦𝘰 & 𝘳𝘦𝘢𝘥𝘪𝘯𝘨 𝘮𝘢𝘵𝘦𝘳𝘪𝘢𝘭𝘴

The most accurate natural language detection library for Python, suitable for short text and mixed-language text

Self-evaluating interview for AI coders

LaMa, short for Labelling Machine, is an web application developed for aiding in thematic analysis of qualitative data.

Information extraction from English and German texts based on predicate logic

Databricks’ Dolly, a large language model trained on the Databricks Machine Learning Platform

Code and documentation to train Stanford's Alpaca models, and generate the data.

📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.

CCFinderX with autotools support

A curated list of publications and code about data augmentaion for graphs.

A boorkmarklet for previewing citations and other internal links in PDFs on mouse hover

Universal Reddit Scraper - A comprehensive Reddit scraping/archival command-line tool.

Repository for Frequency Word List Generator and processed files