Ziheng ZHANG's starred repositories
MELBench
Multimodal entity linking (MEL) aims to utilize multimodal information to map mentions to corresponding entities defined in knowledge bases. We release three MEL datasets: Weibo-MEL, Wikidata-MEL and Richpedia-MEL, containing 25,602, 18,880 and 17,806 samples from social media, encyclopedia and multimodal knowledge graphs respectively. A MEL dataset construction approach is proposed, including five stages: multimodal information extraction, mention extraction, entity extraction, triple construction and dataset construction. Experiment results demonstrate the usability of the datasets and the distinguishability between baseline models.
Retrieval-Augmented-Visual-Question-Answering
This is the official repository for Retrieval Augmented Visual Question Answering
KG-MM-Survey
Knowledge Graphs Meet Multi-Modal Learning: A Comprehensive Survey
llama-recipes
Scripts for fine-tuning Meta Llama3 with composable FSDP & PEFT methods to cover single/multi-node GPUs. Supports default & custom datasets for applications such as summarization and Q&A. Supporting a number of candid inference solutions such as HF TGI, VLLM for local or cloud deployment. Demo apps to showcase Meta Llama3 for WhatsApp & Messenger.
Awesome-LLM
Awesome-LLM: a curated list of Large Language Model
Chinese-LLaMA-Alpaca
中文LLaMA&Alpaca大语言模型+本地CPU/GPU训练部署 (Chinese LLaMA & Alpaca LLMs)
alpaca.cpp
Locally run an Instruction-Tuned Chat-Style LLM
SupContrast
PyTorch implementation of "Supervised Contrastive Learning" (and SimCLR incidentally)
github-profile-views-counter
It counts how many times your GitHub profile has been viewed. Free cloud micro-service.
ccf-deadlines
⏰ Collaboratively track deadlines of conferences recommended by CCF (Website, Python Cli, Wechat Applet) / If you find it useful, please star this project, thanks~
PRASE-Python
The code of paper "Unsupervised Knowledge Graph Alignment by Probabilistic Reasoning and Semantic Embedding"
awesome-knowledge-graph
整理知识图谱相关学习资料
chatbot-base-on-Knowledge-Graph
使用深度学习方法解析问题 知识图谱存储 查询知识点 基于医疗垂直领域的对话系统
BioMedical-NLP-corpus
Biomedical NLP Corpus or Datasets.