Popular GitHub Repositories for Unstructured Traffic

A Python library for extracting structured information from unstructured text using LLMs with precise source grounding and interactive visualization.

? Data Versioning and ML Experiments

Refine high-quality datasets and visual AI models

Neo4j graph construction from unstructured data using LLMs

Towhee is a framework that is dedicated to making neural data processing pipelines simple and fast.

A large collection of system log datasets for AI-driven log analytics [ISSRE'23]

Dealing with all unstructured data, such as reverse image search, audio search, molecular search, video analysis, question and answer systems, NLP, etc.

? Instill Core is a full-stack AI infrastructure tool for data, model and pipeline orchestration, designed to streamline every aspect of building versatile AI-first applications

A Burp Suite extension that integrates OpenAI's GPT to perform an additional passive scan for discovering highly bespoke vulnerabilities and enables running traffic-based analysis of any type.

Interact, analyze and structure massive text, image, embedding, audio and video datasets

An on-premises unstructured data extraction tool powered by vision language models.

ContextGem: Easier and faster way to build LLM extraction workflows through powerful abstractions

A selection of state-of-the-art research materials on trajectory prediction

A curated list of resources for Document Understanding (DU) topic

Superlinked is a Python framework for AI Engineers building high-performance search & recommendation applications that combine structured and unstructured data.

Govern, Secure, and Optimize your AI Traffic. AI Gateway provides unified interface to all LLMs using OpenAI API format with a focus on performance and reliability. Built in Rust.

Enterprise-grade and API-first LLM workspace for unstructured documents, including data extraction, redaction, rights management, prompt playground, and more!

Multi-camera live traffic and object counting with YOLO v4, Deep SORT, and Flask.

Lightning fast data version control system for structured and unstructured machine learning datasets. We aim to make versioning datasets as easy as versioning code.

Reinforcement Learning environments for Traffic Signal Control with SUMO. Compatible with Gymnasium, PettingZoo, and popular RL libraries.