joaomdmoura / crewAI
Framework for orchestrating role-playing, autonomous AI agents. By fostering collaborative intelligence, CrewAI empowers agents to work together seamlessly, tackling complex tasks.
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Framework for orchestrating role-playing, autonomous AI agents. By fostering collaborative intelligence, CrewAI empowers agents to work together seamlessly, tackling complex tasks.
A natural language interface for computers
A list of useful payloads and bypass for Web Application Security and Pentest/CTF
Imitation Learning algorithms with Co-traing for Mobile ALOHA: ACT, Diffusion Policy, VINN
提取微信聊天记录,将其导出成HTML、Word、CSV文档永久保存,对聊天记录进行分析生成年度聊天报告
Making large AI models cheaper, faster and more accessible
vits2 backbone with multilingual-bert
Open standard for machine learning interoperability
中文LLaMA-2 & Alpaca-2大模型二期项目 + 64K超长上下文模型 (Chinese LLaMA-2 & Alpaca-2 LLMs with 64K long context models)
⚡ Building applications with LLMs through composability ⚡
A sample app for the Retrieval-Augmented Generation pattern running in Azure, using Azure AI Search for retrieval and Azure OpenAI large language models to power ChatGPT-style and Q&A experiences.
🌟 The Multi-Agent Framework: Given one line Requirement, return PRD, Design, Tasks, Repo
Dev tool that writes scalable apps from scratch while the developer oversees the implementation
Efficient Streaming Language Models with Attention Sinks
Voice Recognition to Text Tool / 一个离线运行的本地语音识别转文字服务,输出json、srt字幕带时间戳、纯文字�?�式
The uncompromising Python code formatter
ModelScope-Agent(开源版GPTs): An agent framework connecting models in ModelScope with the world
Langchain-Chatchat(原Langchain-ChatGLM)基于 Langchain 与 ChatGLM 等语言模型的本地知识库问答 | Langchain-Chatchat (formerly langchain-ChatGLM), local knowledge based LLM (like ChatGLM) QA app with langchain
Netease Youdao's open-source embedding and reranker models for RAG products.
A terminal Flamegraph viewer.
Open source software that helps you create and deploy high-frequency crypto trading bots
WikiChat stops the hallucination of large language models by retrieving data from Wikipedia.
A high-throughput and memory-efficient inference and serving engine for LLMs
An API standard for single-agent reinforcement learning environments, with popular reference environments and related utilities (formerly Gym)
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