Popular GitHub Repositories for Move Ordering Heuristics

Intelligent (edge and LLM) proxy for agents. Move faster by letting Arch handle the pesky heavy lifting in building agentic apps. Fast ?? task clarification, agent routing, seamless integration of prompts with tools for common tasks, and unified access and observability of LLMs.

Find big moving stocks before they move using machine learning and anomaly detection

[ECCV2024] Gaussian Splatting on the Move: Blur and Rolling Shutter Compensation for Natural Camera Motion

[NeurIPS 2024] ReEvo: Large Language Models as Hyper-Heuristics with Reflective Evolution

HolisticMotionCapture is an application and package that can capture the motion of a person with only a monocular color camera and move the VRM avatar's pose, face, and hands.

Give a portrait face, move the gaze up (ACM MM 2020)

A Chatbot for ordering a pizza that demonstrates how using the IBM Watson Assistant Slots feature, one can fill out an order, form, or profile.

Can a neural network predict your next move on a game of rock, paper and scissor?

A chess engine and AI move finder written in Javascript. Beats Stockfish level 6 on Lichess.

An improvement-based Deep Reinforcement Learning Algorithm presented in paper https://arxiv.org/abs/1912.05784v2 for solving the TSP problem.

Predicts the best chess move with 27.5% accuracy by a single matrix multiplication

Image Forgery Detection using Deep learning Graduation project

llamacloud-mcp is a cloud computing platform that offers secure and scalable solutions for businesses looking to move to the cloud. It provides easy access to virtual servers and storage options for efficient data management.

MOVE (Multi-Omics Variational autoEncoder) for integrating multi-omics data and identifying cross modal associations

This repository contains MAPF-GPT, a deep learning-based model for solving MAPF problems. Trained with imitation learning on trajectories produced by LaCAM, it generates actions under partial observability without heuristics or agent communication. MAPF-GPT excels on unseen instances and outperforms state-of-the-art solvers.

Official PyTorch implementation of the ICCV 2023 paper: From Chaos Comes Order: Ordering Event Representations for Object Recognition and Detection.

Multi-Agent Step Race Benchmark: Assessing LLM Collaboration and Deception Under Pressure. A multi-player “step-race” that challenges LLMs to engage in public conversation before secretly picking a move (1, 3, or 5 steps). Whenever two or more players choose the same number, all colliding players fail to advance.

This repository contains MAPF-GPT, a deep learning-based model for solving MAPF problems. Trained with imitation learning on trajectories produced by LaCAM, it generates actions under partial observability without heuristics or agent communication. MAPF-GPT excels on unseen instances and outperforms state-of-the-art solvers.

A Pytorch implementation of Generative Adversarial Network for Heuristics of Sampling-based Path Planning

Learning 2-opt Heuristics for the TSP via Deep Reinforcement Learning