Chlapec

Chlapec's Stars

• szczyglis-dev/py-gpt

  Desktop AI Assistant powered by o1, GPT-4, GPT-4 Vision, Gemini, Claude, Llama 3, Bielik, DALL-E, Langchain, Llama-index, chat, vision, voice control, image generation and analysis, agents, command execution, file upload/download, speech synthesis and recognition, access to Web, memory, presets, assistants, plugins, and more. Linux, Windows, Mac.

  Language:Python670132

• opendilab/awesome-ui-agents

  A curated list of of awesome UI agents resources, encompassing Web, App, OS, and beyond (continually updated)

  859

• xbmxb/CoCo-Agent

  Language:Python251

• QwenLM/Qwen2-VL

  Qwen2-VL is the multimodal large language model series developed by Qwen team, Alibaba Cloud.

  Language:Python3.4k210

• IMNearth/CoAT

  Official implementation for "Android in the Zoo: Chain-of-Action-Thought for GUI Agents" (Findings of EMNLP 2024)

  Language:Python521

• google-research/android_world

  AndroidWorld is an environment and benchmark for autonomous agents

  Language:Python14314

• webpilot-ai/Webpilot

  Language:Vue1.8k180

• X-PLUG/MobileAgent

  Mobile-Agent: The Powerful Mobile Device Operation Assistant Family

  Language:Python3.1k289

• BAAI-Agents/Cradle

  The Cradle framework is a first attempt at General Computer Control (GCC). Cradle supports agents to ace any computer task by enabling strong reasoning abilities, self-improvment, and skill curation, in a standardized general environment with minimal requirements.

  Language:Python1.9k166

• QwenLM/Qwen-Agent

  Agent framework and applications built upon Qwen>=2.0, featuring Function Calling, Code Interpreter, RAG, and Chrome extension.

  Language:Python4.2k385

• openai/swarm

  Educational framework exploring ergonomic, lightweight multi-agent orchestration. Managed by OpenAI Solution team.

  Language:Python16.5k1.7k

• zchuz/TimeBench

  The repository for ACL 2024 paper "TimeBench: A Comprehensive Evaluation of Temporal Reasoning Abilities in Large Language Models"

  Language:Python261

• WooooDyy/AgentGym

  Code and implementations for the paper "AgentGym: Evolving Large Language Model-based Agents across Diverse Environments" by Zhiheng Xi et al.

  Language:Python35847

• DAMO-NLP-SG/CoI-Agent

  Official code for paper: Chain of Ideas: Revolutionizing Research via Novel Idea Development with LLM Agents

  Language:Python37821

• JoeYing1019/UltraTool

  [ACL2024] Planning, Creation, Usage: Benchmarking LLMs for Comprehensive Tool Utilization in Real-World Complex Scenarios

  Language:Python461

• ShishirPatil/gorilla

  Gorilla: Training and Evaluating LLMs for Function Calls (Tool Calls)

  Language:Python11.5k1k

• didi/LogicFlow

  A flow chart editing framework focus on business customization. 专注于业务自定义的流程图编辑框架，支持实现脑图、ER图、UML、工作流等各种图编辑场景。

  Language:TypeScript8.8k1.1k

• langroid/langroid

  Harness LLMs with Multi-Agent Programming

  Language:Python2.7k259

• langgenius/dify

  Dify is an open-source LLM app development platform. Dify's intuitive interface combines AI workflow, RAG pipeline, agent capabilities, model management, observability features and more, letting you quickly go from prototype to production.

  Language:TypeScript53.5k7.8k

• DSXiangLi/DecryptPrompt

  总结Prompt&LLM论文，开源数据&模型，AIGC应用

  2.7k278

• FlowiseAI/Flowise

  Drag & drop UI to build your customized LLM flow

  Language:TypeScript32k16.7k

• wainshine/Company-Names-Corpus

  公司名语料库。机构名语料库。公司简称,缩写,品牌词,企业名。可用于中文分词、机构名实体识别。

  1.2k373

• MoreAgentsIsAllYouNeed/AgentForest

  We present the first systematic study on the scaling property of raw agents instantiated by LLMs. We find that performance scales with the increase in the number of agents, using the simple(st) way of sampling and voting. Our method is called Agent Forest, as a tribute to the classic Random Forest.

  Language:Python9311

• instadeepai/DebateLLM

  Benchmarking Multi-Agent Debate between Language Models for Truthfulness in Q&A.

  Language:Jupyter Notebook212

• skyBluezz/LLM-Math-Debate

  Group Think and Collective Intelligence: Debating Arithmetic between Multiple LLM Agents

  Language:Jupyter Notebook1

• richards199999/Self-Iterative-Agent-System-for-Complex-Problem-Solving

  Multiple instructed-LLMs engage in multi-round "self-questioning" to seek the optimal solution, borrowing from the idea of debate, iteratively refining the current problem-solving process, and finally selecting the optimal solution to give a conclusion.

  676

• Skytliang/Multi-Agents-Debate

  MAD: The first work to explore Multi-Agent Debate with Large Language Models :D

  Language:Python28432

• aiwaves-cn/agents

  An Open-source Framework for Data-centric, Self-evolving Autonomous Language Agents

  Language:Python5.3k419

• yxwang8775/TDAG

  Language:Python5

• Xnhyacinth/Awesome-LLM-Long-Context-Modeling

  📰 Must-read papers and blogs on LLM based Long Context Modeling 🔥

  1k38