Popular GitHub Repositories for Truth

a machine learning image inpainting task that instinctively removes watermarks from image indistinguishable from the ground truth image

mean Average Precision - This code evaluates the performance of your neural net for object recognition.

The Truth Is In There: Improving Reasoning in Language Models with Layer-Selective Rank Reduction

Tutorial demonstrating how to create a semantic segmentation (pixel-level classification) model to predict land cover from aerial imagery. This model can be used to identify newly developed or flooded land. Uses ground-truth labels and processed NAIP imagery provided by the Chesapeake Conservancy.

Cornell NLVR and NLVR2 are natural language grounding datasets. Each example shows a visual input and a sentence describing it, and is annotated with the truth-value of the sentence.

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.

You keep one single source of truth about your servers, services, and bookmarks, and Dashuni generates the correct config for your favorite dashboard.

code to train a neural network to align pairs of shapes without needing ground truth warps for supervision

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.

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.

Saving incoming camera sensor images data as Numpy arrays to generate ground truth data for semantic segmentation

In this repository, I have developed a CycleGAN architecture with embedded Self-Attention Layers, that could solve three different complex tasks. Here the same principle Neural Network architecture has been used to solve the three different task. Although truth be told, my model has not exceeded any state of the art performances for the given task, but the architecture was powerful enough to understand the task that has been given to solve and produce considerably good results.

[ICLR 2024] Jaiswal, A., Gan, Z., Du, X., Zhang, B., Wang, Z., & Yang, Y. Compressing llms: The truth is rarely pure and never simple.

An AI-assisted workflow for managing Unreal Engine UMG assets. This plugin uses JSON as the source of truth, enabling robust version control (Git), programmatic UI manipulation, and automation for UMG development.

Grounding LLMs in truth with under 30 lines of code.

LAWLIA is an open-source computational legal framework designed to revolutionize legal reasoning and analysis. It combines the power of large language models with a structured syntactical grammar to facilitate precise legal assessments, truth values, and verdicts. LAWLIA is the future of computational jurisprudence

Python script and Lua extension using BeamNG.tech to generate low impact crash scenarios and ground truth data for imitation learning.

Trustworthy Knowledge Graph Completion Based on Multi-sourced Noisy Data, WWW 2022

Kaggle's Photorealistic images of the Moon's surface with ground truth rock segmentation.

Code for the KDD-2023 paper: Neural-Hidden-CRF: A Robust Weakly-Supervised Sequence Labeler