A robust Python tool for text-based AI training and generation using GPT-2.
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A collection of original, innovative ideas and algorithms towards Advanced Literate Machinery. This project is maintained by the OCR Team in the Language Technology Lab, Tongyi Lab, Alibaba Group.
- artificial-intelligence
- documentai
- multimodal
- multimodal-deep-learning
Synthesizing Graphics Programs for Scientific Figures and Sketches with TikZ.
- huggingface
- inverse-graphics
- latex
- llama
Cloud native, ultra-high performance AI&API gateway, LLM API management, distribution system, open platform, supporting all AI APIs.🦄云原生、超高性能 AI&API网关，LLM API 管理、分发系统、开放平台，支持所有AI API，不限于OpenAI、Azure、Anthropic Claude、Google Gemini、DeepSeek、字节豆包、ChatGLM、文心一言、讯飞星火、通义千问、360 智脑、腾讯混元等主流模型，统一 API 请求和返回，API申请与审批，调用统计、负载均衡、多模型灾备。一键部署，开箱即用。
- api
- apihub
- gateway
- api-gateway
A modern and easy-to-use client for Ollama
An optimized quantization and inference library for running LLMs locally on modern consumer-class GPUs
Dive is an open-source MCP Host Desktop Application that seamlessly integrates with any LLMs supporting function calling capabilities. ✨
- ai-agents
- llm-interface
- mcp-client
- mcp-host
一款包含了 Prompt管理，Skill管理，Agent管理的一站式AI工具箱，助你高效管理提示词，一键分发skills ，一站式管理Agent资产，并实现云同步，备份，版本管理 | An all-in-one AI toolbox for prompt, agent, and skills management. Reuse prompts, distribute skills with one click, manage agent assets, and support cloud sync, backup, and version control
1M param OCR model - runs on CPU, 15x faster than tesseract, close to 1B+ param models in accuracy
WeMM-Embedding is a family of universal multimodal embedding models by the WeChat Vision Team at Tencent, supporting multimodal understanding and retrieval.
- embedding-models
- multimodal
- multimodal-llm
Yes, it's another chat over documents implementation... but this one is entirely local!
YaRN: Efficient Context Window Extension of Large Language Models
WFGY is heading toward WFGY 5.0 Polaris Protocol, a major open-source release for AI reasoning, RAG, agents, and real-world workflows. Includes Problem Map, Global Debug Card, WFGY 4.0, and the CFV Easter Egg.
心理健康大模型 (LLM x Mental Health), Pre & Post-training & Dataset & Evaluation & Depoly & RAG, with InternLM / Qwen / Baichuan / DeepSeek / Mixtral / LLama / GLM series models
MLE-bench is a benchmark for measuring how well AI agents perform at machine learning engineering
Developer AI Persona Search Agent
- gpt-4
- llm
- solidgpt
- developer-tools
收集GPTS的prompt / Collect the prompt of GPTS
- chatgpt
- chatgpt-api
- gpts
- gptslist
📄 🤖 AI for medical and scientific papers
- python
- machine-learning
- nlp
- medical
Evaluate and Enhance Your LLM Deployments for Real-World Inference Needs
Language Understanding Evaluation benchmark for Chinese: datasets, baselines, pre-trained models,corpus and leaderboard
- glue
- language-understanding
- bert
- pre-trained-model
Synthetic Data Generation Platform By DataArcTech
Train your Agent model via our easy and efficient framework
The official implementation of RAPTOR: Recursive Abstractive Processing for Tree-Organized Retrieval
- rag
- retrieval
- retrieval-augmented-generation
- clustering
Fast and efficient unstructured data extraction. Written in Rust with bindings for many languages.
- extraction
- tika
- unstructured