yuntao229 Goto Github PK
Name: Yuntao Wei
Type: User
Company: University of Science and Technology of China
Bio: What doesn't kill you makes you stronger.
Location: hefei, China
Name: Yuntao Wei
Type: User
Company: University of Science and Technology of China
Bio: What doesn't kill you makes you stronger.
Location: hefei, China
Aspect Based Sentiment Analysis, PyTorch Implementations. 基于方面的情感分析,使用PyTorch实现。
A paper list for aspect based sentiment analysis.
An experimental open-source attempt to make GPT-4 fully autonomous.
Latest Papers and Datasets on Multimodal Large Language Models
Collection of advice for prospective and current PhD students
TensorFlow code and pre-trained models for BERT
Chatbox is a desktop app for multiple cutting-edge LLM models that available on Windows, Mac, Linux
科研工作专用ChatGPT拓展,特别优化学术Paper润色体验,支持自定义快捷按钮,支持markdown表格显示,Tex公式双显示,代码显示功能完善,新增本地Python工程剖析功能/自我剖析功能
An official implementation of "Decoupled Multimodal Distilling for Emotion Recognition" in PyTorch. (CVPR 2023 highlight)
Grounded-SAM: Marrying Grounding-DINO with Segment Anything & Stable Diffusion & Recognize Anything - Automatically Detect , Segment and Generate Anything
HuggingLLM, Hugging Future.
Langchain-Chatchat(原Langchain-ChatGLM)基于 Langchain 与 ChatGLM 等语言模型的本地知识库问答 | Langchain-Chatchat (formerly langchain-ChatGLM), local knowledge based LLM (like ChatGLM) QA app with langchain
Inference code for LLaMA models
Visual Instruction Tuning: Large Language-and-Vision Assistant built towards multimodal GPT-4 level capabilities.
【LLMs九层妖塔】分享 LLMs在自然语言处理(ChatGLM、Chinese-LLaMA-Alpaca、小羊驼 Vicuna、LLaMA、GPT4ALL等)、信息检索(langchain)、语言合成、语言识别、多模态等领域(Stable Diffusion、MiniGPT-4、VisualGLM-6B、Ziya-Visual等)等 实战与经验。
The official GitHub page for the survey paper "A Survey of Large Language Models".
:palm_tree:爱情树,将相爱的时刻永远珍藏 (微信,QQ可完美查看)https://yuntao229.github.io/LoveTree/
MiniGPT-4: Enhancing Vision-language Understanding with Advanced Large Language Models
MMSA is a unified framework for Multimodal Sentiment Analysis.
An open-source tool-augmented conversational language model from Fudan University
Multimodal sentiment analysis is carried out using the method of contrastive learning
[ACL'19] [PyTorch] Multimodal Transformer
A minimal Jekyll Theme to host your resume (CV)
深度学习经典、新论文逐段精读
MLNLP社区用来帮助大家避免论文投稿小错误的整理仓库。 Paper Writing Tips
Sentiment Analysis, Text Classification, Text Augmentation, Text Adversarial defense, etc.;
All Algorithms implemented in Python
🎙️🤖Create, Customize and Talk to your AI Character/Companion in Realtime (All in One Codebase!). Have a natural seamless conversation with AI everywhere (mobile, web and terminal) using LLM OpenAI GPT3.5/4, Anthropic Claude2, Chroma Vector DB, Whisper Speech2Text, ElevenLabs Text2Speech🎙️🤖
Graphic notes on Gilbert Strang's "Linear Algebra for Everyone"
xmnlp:提供中文分词, 词性标注, 命名体识别,情感分析,文本纠错,文本转拼音,文本摘要,偏旁部首,句子表征及文本相似度计算等功能
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.