Popular GitHub Repositories for Checking

? A refreshing functional take on deep learning, compatible with your favorite libraries

Type annotations and dynamic checking for a tensor's shape, dtype, names, etc.

FacTool: Factuality Detection in Generative AI

? Example Python project using best practices ?

Links to conference/journal publications in automated fact-checking (resources for the TACL22/EMNLP23 paper).

RefChecker provides automatic checking pipeline and benchmark dataset for detecting fine-grained hallucinations generated by Large Language Models.

? No need to keep checking your training - just one import line and you'll know the second it's done.

Paper list of misinformation research using (multi-modal) large language models, i.e., (M)LLMs.

The modern spam protection. Protects your forms from spam by simply checking the content. Open source, Free to use, Accessible, and Self-Hosted.

DataGene - Identify How Similar TS Datasets Are to One Another (by @firmai)

Motion Planner for Self Driving Cars

Open-Source RAG app with LLM Observability (Langfuse), support for 100+ providers (LiteLLM), Dockerized, Full Type-checking, 100% Test coverage, and more...

This AI fact-checking system, built with LangGraph, dissects text into verifiable claims, cross-referencing them with real-world evidence via web searches. It then generates detailed accuracy reports, ideal for combating misinformation in LLM outputs, news, or any text.

Line bot that checks if a message contains internet rumor.

SemViQA: A Semantic Question Answering System for Vietnamese Information Fact-Checking

Orchestrator Kit for Agentic Reasoning - OrKa is a modular AI orchestration system that transforms Large Language Models (LLMs) into composable agents capable of reasoning, fact-checking, and constructing answers with transparent traceability.

An easy to use framework for large-scale fact-checking and question answering

An Attendance Checking System using Deep Facial Recognition, written in Python.

This AI fact-checking system, built with LangGraph, dissects text into verifiable claims, cross-referencing them with real-world evidence via web searches. It then generates detailed accuracy reports, ideal for combating misinformation in LLM outputs, news, or any text.

Code associated with the EMNLP 2024 Main paper: "Image, tell me your story!" Predicting the original meta-context of visual misinformation.