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Make websites accessible for AI agents
A collection of notebooks/recipes showcasing some fun and effective ways of using Claude.
TradingAgents: Multi-Agents LLM Financial Trading Framework
Research and development (R&D) is crucial for the enhancement of industrial productivity, especially in the AI era, where the core aspects of R&D are mainly focused on data and models. We are commi…
[🔥updating ...] AI 自动量化交易机器人(完全本地部署) AI-powered Quantitative Investment Research Platform. 📃 online docs: https://ufund-me.github.io/Qbot ✨ :news: qbot-mini: https://github.com/Charmve/iQuant
Incorporating VIsual LAyout Structures for Scientific Text Classification
整理开源的中文大语言模型,以规模较小、可私有化部署、训练成本较低的模型为主,包括底座模型,垂直领域微调及应用,数据集与教程等。
Unify Efficient Fine-tuning of RAG Retrieval, including Embedding, ColBERT, ReRanker.
A Comprehensive Toolkit for High-Quality PDF Content Extraction
[NAACL 2024] Visually Guided Generative Text-Layout Pre-training for Document Intelligence
A Unified Toolkit for Deep Learning Based Document Image Analysis
An unofficial Pytorch implementation of ERNIE-Layout which is originally released through PaddleNLP.
DocLayout-YOLO: Enhancing Document Layout Analysis through Diverse Synthetic Data and Global-to-Local Adaptive Perception
YOLOv10 trained on DocLayNet dataset.
luochuwei / CV
Forked from NewFuture/CVA resume template in github-pages website by Jekyll supports Markdown,yaml and json 在线简历自动生成模板(超高兼容可导PDF)
Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities
Tesseract Open Source OCR Engine (main repository)
Unified Efficient Fine-Tuning of 100+ LLMs & VLMs (ACL 2024)
深度学习入门课、资深课、特色课、学术案例、产业实践案例、深度学习知识百科及面试题库The course, case and knowledge of Deep Learning and AI
RAGFlow is an open-source RAG (Retrieval-Augmented Generation) engine based on deep document understanding.
《Hello 算法》:动画图解、一键运行的数据结构与算法教程。支持 Python, Java, C++, C, C#, JS, Go, Swift, Rust, Ruby, Kotlin, TS, Dart 代码。简体版和繁体版同步更新,English version ongoing
🔍 An LLM-based Multi-agent Framework of Web Search Engine (like Perplexity.ai Pro and SearchGPT)
Fast and memory-efficient exact attention