thundax-lyp

Pinned Repositories

Awesome-Chinese-LLM
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。
00
Bert-VITS2
vits2 backbone with multilingual-bert
Language:Python0 0 00
chatgpt-on-wechat
基于大模型搭建的聊天机器人，同时支持微信公众号、企业微信应用、飞书、钉钉等接入，可选择GPT3.5/GPT-4o/GPT4.0/ Claude/文心一言/讯飞星火/通义千问/ Gemini/GLM-4/Claude/Kimi/LinkAI，能处理文本、语音和图片，访问操作系统和互联网，支持基于自有知识库进行定制企业智能客服。
Language:Python0 0 00
echomimic_v2
EchoMimicV2: Towards Striking, Simplified, and Semi-Body Human Animation
Language:Python00
Genshin_Datasets
Genshin Datasets For SVC/SVS/TTS
Language:Python0 0 00
intellij-community
IntelliJ IDEA Community Edition & IntelliJ Platform
Language:Java00
KAG
KAG is a logical form-guided reasoning and retrieval framework based on OpenSPG engine and LLMs. It is used to build logical reasoning and factual Q&A solutions for professional domain knowledge bases. It can effectively overcome the shortcomings of the traditional RAG vector similarity calculation model.
Language:Python00
LightRAG
"LightRAG: Simple and Fast Retrieval-Augmented Generation"
Language:Python00
MindSearch
🔍 An LLM-based Multi-agent Framework of Web Search Engine (like Perplexity.ai Pro and SearchGPT)
Language:Python00
openspg-schema-highlighter-idea-plugin
An IDEA plugin for OpenSPG schema syntax highlighting
Language:Java10

thundax-lyp's Repositories

thundax-lyp/openspg-schema-highlighter-idea-plugin
An IDEA plugin for OpenSPG schema syntax highlighting
Language:Java10
thundax-lyp/Awesome-Chinese-LLM
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。
00
thundax-lyp/Bert-VITS2
vits2 backbone with multilingual-bert
Language:Python0 0 00
thundax-lyp/chatgpt-on-wechat
基于大模型搭建的聊天机器人，同时支持微信公众号、企业微信应用、飞书、钉钉等接入，可选择GPT3.5/GPT-4o/GPT4.0/ Claude/文心一言/讯飞星火/通义千问/ Gemini/GLM-4/Claude/Kimi/LinkAI，能处理文本、语音和图片，访问操作系统和互联网，支持基于自有知识库进行定制企业智能客服。
Language:Python0 0 00
thundax-lyp/echomimic_v2
EchoMimicV2: Towards Striking, Simplified, and Semi-Body Human Animation
Language:Python00
thundax-lyp/Genshin_Datasets
Genshin Datasets For SVC/SVS/TTS
Language:Python0 0 00
thundax-lyp/intellij-community
IntelliJ IDEA Community Edition & IntelliJ Platform
Language:Java00
thundax-lyp/KAG
KAG is a logical form-guided reasoning and retrieval framework based on OpenSPG engine and LLMs. It is used to build logical reasoning and factual Q&A solutions for professional domain knowledge bases. It can effectively overcome the shortcomings of the traditional RAG vector similarity calculation model.
Language:Python00
thundax-lyp/LightRAG
"LightRAG: Simple and Fast Retrieval-Augmented Generation"
Language:Python00
thundax-lyp/MindSearch
🔍 An LLM-based Multi-agent Framework of Web Search Engine (like Perplexity.ai Pro and SearchGPT)
Language:Python00
thundax-lyp/nano-graphrag
A simple, easy-to-hack GraphRAG implementation
Language:Python00
thundax-lyp/RAG-Retrieval
Unify Efficient Fine-tuning of RAG Retrieval, including Embedding, ColBERT,Cross Encoder
Language:Python0 0 00
thundax-lyp/RALM_Survey
This is a repository of RALM surveys containing a summary of state-of-the-art RAG and other technologies
00
thundax-lyp/tts-frontend-dataset
TTS FrontEnd DataSet: Polyphone / Prosody / TextNormalization
Language:Python0 0 00
thundax-lyp/wechat-tiptap
A WeChat-style WYSIWYG editor，with AI powered and wonderful table extension and image extension