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A Pair Programming Framework for Code Generation via Multi-Plan Exploration and Feedback-Driven Refinement, ASE 2024 (Distinguished Paper Award)
🌌️Fuzz4All: Universal Fuzzing with Large Language Models
An inductive logic programming system
Neural Symbolic Machines is a framework to integrate neural networks and symbolic representations using reinforcement learning, with applications in program synthesis and semantic parsing.
🌟 The Multi-Agent Framework: First AI Software Company, Towards Natural Language Programming
Awesome autocompletion, static analysis and refactoring library for python
Create Customized Software using Natural Language Idea (through LLM-powered Multi-Agent Collaboration)
🤖 Assemble, configure, and deploy autonomous AI Agents in your browser.
Extract and combine multiple source code views using tree-sitter
Java 1-21 Parser and Abstract Syntax Tree for Java with advanced analysis functionalities.
Construct graphs from parsed source code
A powerful and user-friendly binary analysis platform!
Python library for program synthesis and symbolic execution combining constraint solving and LLMs
🔮 ChatGPT Desktop Application (Mac, Windows and Linux)
Deep-Learning-powered-Iterative-Combinatorial Auctions
Implementation and evaluation of combinatorial auction protocols: VCG and Groves mechanism with submodular approximation (GM-SMA)
A curated list of mechanism design resources and links.
Small Profits and Quick Returns: An Incentive Mechanism Design for Crowdsourcing under Continuous Platform Competition,
Research on incentive mechanism design in mobile crowdsensing and mobile edge computing by deep reinforcement learning approaches.
Paper list of multi-agent reinforcement learning (MARL)
Python Multi-Agent Reinforcement Learning framework
Microsoft Program Synthesis using Examples SDK is a framework of technologies for the automatic generation of programs from input-output examples. This repo includes samples and sample data for the…