Ma Chang (chang-github-00)

chang-github-00

Geek Repo

Company:CS, HKU

Location:Hong Kong

Home Page:https://chang-github-00.github.io/-changma/

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Ma Chang's starred repositories

digirl

Official repo for paper DigiRL: Training In-The-Wild Device-Control Agents with Autonomous Reinforcement Learning.

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Agent-Eval-Refine

Code for Paper: Autonomous Evaluation and Refinement of Digital Agents

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ENVISIONS

A Neural-Symbolic Self-Training Framework

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calvin

CALVIN - A benchmark for Language-Conditioned Policy Learning for Long-Horizon Robot Manipulation Tasks

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Awesome-LLM-Research

Curation of resources for LLM research.

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llama3

The official Meta Llama 3 GitHub site

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OSWorld

OSWorld: Benchmarking Multimodal Agents for Open-Ended Tasks in Real Computer Environments

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LearnAct

Code for paper Empowering Large Language Model Agents through Action Learning

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hok_env

Honor of Kings AI Open Environment of Tencent

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awesome-multi-agent-papers

A compilation of the best multi-agent papers

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Voyager

An Open-Ended Embodied Agent with Large Language Models

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WorldModelPapers

Paper collections of the continuous effort start from World Models.

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NCISurvey

Neural Code Intelligence Survey 2024; Reading lists and resources

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RT-X

Pytorch implementation of the models RT-1-X and RT-2-X from the paper: "Open X-Embodiment: Robotic Learning Datasets and RT-X Models"

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PPOCoder

Code for the TMLR 2023 paper "PPOCoder: Execution-based Code Generation using Deep Reinforcement Learning"

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AgentBoard

An Analytical Evaluation Board of Multi-turn LLM Agents

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rebiber

A simple tool to update bib entries with their official information (e.g., DBLP or the ACL anthology).

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self-infilling

[ICML 2024] Self-Infilling Code Generation

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DiffDock

Implementation of DiffDock: Diffusion Steps, Twists, and Turns for Molecular Docking

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OnClass

Single cell typing based on cell ontology

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LLM-Optimizers-Papers

Must-read Papers on Large Language Model (LLM) as Optimizers and Automatic Optimization for Prompting LLMs.

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LLM-eval-survey

The official GitHub page for the survey paper "A Survey on Evaluation of Large Language Models".

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LLM-Agent-Paper-List

The paper list of the 86-page paper "The Rise and Potential of Large Language Model Based Agents: A Survey" by Zhiheng Xi et al.

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Lemur

[ICLR 2024] Lemur: Open Foundation Models for Language Agents

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