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DSPy: The framework for programming—not prompting—foundation models
An LLM-powered knowledge curation system that researches a topic and generates a full-length report with citations.
The official implementation of RAPTOR: Recursive Abstractive Processing for Tree-Organized Retrieval
Clash for Windows for Mac,Clash for Windows for Mac教程,Clash for Windows for Mac配置说明,Clash for Mac
Python Backtesting library for trading strategies
proxy、proxy server、代理协议、代理服务器、代理协议说明、ss、ssr、v2ray、trojan、Clash、V2rayN、Qv2ray、V2rayW、V2RayS、Mellow、V2rayX、V2rayU、ClashX、Kitsunebi、BifrostV、i2Ray 、Quantumult、Surge 4、winXray、Qv2ray、Kitsunebi、Trojan-Qt5
Investment Research for Everyone, Everywhere.
A programming framework for agentic AI. Discord: https://aka.ms/autogen-dc. Roadmap: https://aka.ms/autogen-roadmap
Web UI for AutoGen (A Framework Multi-Agent LLM Applications)
Financial Markets Data Visualization using Matplotlib
FinRobot: An Open-Source AI Agent Platform for Financial Applications using LLMs 🚀 🚀 🚀
Get up and running with Llama 3.1, Mistral, Gemma 2, and other large language models.
Framework for orchestrating role-playing, autonomous AI agents. By fostering collaborative intelligence, CrewAI empowers agents to work together seamlessly, tackling complex tasks.
A high-throughput and memory-efficient inference and serving engine for LLMs
An Open-source Framework for Data-centric, Self-evolving Autonomous Language Agents
[ICCV 2023 Oral] Text-to-Image Diffusion Models are Zero-Shot Video Generators
Text-to-video generation: CogVideoX (2024) and CogVideo (ICLR 2023)
955 不加班的公司名单 - 工作 955,work–life balance (工作与生活的平衡)
北京航空航天大学大数据高精尖中心自然语言处理研究团队开展了智能问答的研究与应用总结。包括基于知识图谱的问答(KBQA),基于文本的问答系统(TextQA),基于表格的问答系统(TableQA)、基于视觉的问答系统(VisualQA)和机器阅读理解(MRC)等,每类任务分别对学术界和工业界进行了相关总结。
Awesome-LLM-Tabular: a curated list of Large Language Model applied to Tabular Data
FinGPT: Open-Source Financial Large Language Models! Revolutionize 🔥 We release the trained model on HuggingFace.
ChatGLM3 series: Open Bilingual Chat LLMs | 开源双语对话语言模型
A professional list on Large (Language) Models and Foundation Models (LLM, LM, FM) for Time Series, Spatiotemporal, and Event Data.
A collection of corpora for named entity recognition (NER) and entity recognition tasks. These annotated datasets cover a variety of languages, domains and entity types.
[NeurIPS2023] This is the official code of the paper "GlyphControl: Glyph Conditional Control for Visual Text Generation"
Langchain-Chatchat(原Langchain-ChatGLM)基于 Langchain 与 ChatGLM, Qwen 与 Llama 等语言模型的 RAG 与 Agent 应用 | Langchain-Chatchat (formerly langchain-ChatGLM), local knowledge based LLM (like ChatGLM, Qwen and…
Awesome-LLM: a curated list of Large Language Model
FinRL: Financial Reinforcement Learning. 🔥