Stars
自动化中文字幕下载。字幕网站支持 shooter、xunlei、arrst、a4k、SubtitleBest 。支持 Emby、Jellyfin、Plex、Sonarr、Radarr、TMM
An Innovative Agent Framework Driven by KG Engine
Next-level academia! Repository for the Native Overleaf project, attempting to integrate Overleaf with native OS features for macOS, Linux and Windows.
Open Source Generative Process Automation (i.e. Generative RPA). AI-First Process Automation with Large ([Language (LLMs) / Action (LAMs) / Multimodal (LMMs)] / Visual Language (VLMs)) Models
A natural language interface for computers
An LLM-based Agent for the New Automation Paradigm - Agentic Process Automation
Mobile-Agent: The Powerful GUI Agent Family
Modeling, training, eval, and inference code for OLMo
[🔥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
[COLING 2025] ToolEyes: Fine-Grained Evaluation for Tool Learning Capabilities of Large Language Models in Real-world Scenarios
[ICML 2024] LLMCompiler: An LLM Compiler for Parallel Function Calling
A collection of AWESOME things about HUGE AI models.
✨✨Latest Advances on Multimodal Large Language Models
Large-scale, Informative, and Diverse Multi-round Chat Data (and Models)
AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.
A curated list of practical guide resources of LLMs (LLMs Tree, Examples, Papers)
🦜🔗 The platform for reliable agents.
A Paper List of Low-resource Information Extraction
🪐 End-to-end NLP workflows from prototype to production
Falcon 2.0 is a joint entity and relation linking tool over Wikidata.
BertViz: Visualize Attention in NLP Models (BERT, GPT2, BART, etc.)
proof of concept for a transformer-based time series prediction model
A novel method to tune language models. Codes and datasets for paper ``GPT understands, too''.
[EMNLP 2021] SimCSE: Simple Contrastive Learning of Sentence Embeddings https://arxiv.org/abs/2104.08821