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zjunlp

Professional software vendor delivering innovative solutions on the Softono platform. Specialized in both open-source and proprietary software development.

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Total Products
7

Software by zjunlp

DeepKE
Open Source

DeepKE

DeepKE is an open-source deep learning toolkit designed for knowledge graph extraction and construction. Developed by the ZJU NLP Group, it supports comprehensive knowledge extraction tasks including entity recognition, relation extraction, and attribute extraction. The toolkit is optimized for complex scenarios such as cnSchema compliance, low-resource few-shot learning, document-level processing, and multimodal data analysis. Users can access a wide range of both standard and state-of-the-art models, including famous architectures like LightNER, W2NER, KnowPrompt, ASP, PRGC, and PURE. The project provides ready-to-use pre-trained models to accelerate development. DeepKE also features integration with Large Language Models through its DeepKE-LLM extension, allowing users to leverage generative AI for knowledge extraction tasks. The software includes detailed documentation, online demos, and educational resources such as papers and slides to assist beginners. It supports both Linux and Windows environments an

ML Frameworks
4.4K Github Stars
PromptKG
Open Source

PromptKG

PromptKG Family: a Gallery of Prompt Learning & KG-related research works, toolkits, and paper-list.

ML Frameworks
734 Github Stars
LightMem
Open Source

LightMem

LightMem is a lightweight and efficient memory management framework designed for Large Language Models and AI Agents. It provides a simple yet powerful mechanism for memory storage, retrieval, and update, enabling developers to quickly build intelligent applications with long-term memory capabilities. The system features a minimalist design that ensures minimal resource consumption and fast response times while maintaining high performance. Its user-friendly API allows for seamless integration into existing applications with just a few lines of code. LightMem boasts a modular architecture that supports custom storage engines and retrieval strategies, offering significant flexibility and extensibility for diverse use cases. The framework ensures broad compatibility by supporting major cloud APIs like OpenAI and DeepSeek, as well as local models including Ollama and vLLM. Recent updates include support for the latest DeepSeek models with reasoning capabilities, integration with the MCP Server for multi-tool cal

AI Agents Knowledge Bases & RAG
917 Github Stars
SkillNet
Open Source

SkillNet

Create, Evaluate, and Connect AI Skills

AI Agents Knowledge Bases & RAG
1K Github Stars
SkillX
Open Source

SkillX

SkillX: Automatically Constructing Skill Knowledge Bases for Agents

ML Frameworks Knowledge Bases & RAG
218 Github Stars
LLMAgentPapers
Open Source

LLMAgentPapers

Must-read Papers on LLM Agents.

Education & Learning AI Agents ML Frameworks
3K Github Stars
Prompt4ReasoningPapers
Open Source

Prompt4ReasoningPapers

Prompt4ReasoningPapers is a comprehensive, curated repository and survey repository focusing on reasoning with language model prompting, originally published at ACL 2023. It systematically organizes cutting-edge research papers, benchmark datasets, and tools designed to enhance the reasoning capabilities of Large Language Models. The collection categorizes approaches into strategy-enhanced methods such as prompt engineering, process optimization including self-refinement and ensemble techniques, and external engine integration like code interpreters and tool learning. It also covers knowledge-enhanced reasoning through both implicit and explicit knowledge sources. Beyond the academic paper survey, the project actively maintains related open-source frameworks including EasyEdit for knowledge editing, KnowLM for model training, and EasyInstruct for instruction processing. The repository provides structured summaries, comparative analyses of different reasoning methodologies, and links to associated tutorials an

Documentation
1K Github Stars