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alpaca-cot

We unified the interfaces of instruction-tuning data (e.g., CoT data), multiple LLMs and parameter-efficient methods (e.g., lora, p-tuning) together for easy use. Meanwhile, we created a new branch to build a Tabular LLM.（我们分别统一了丰富的IFT数据（如CoT数据，目前仍不断扩充）、多种训练效率方法（如lora，p-tuning）以及多种LLMs，三个层面上的接口，打造方便研究人员上手的LLM-IFT研究平台。同时tabular_llm分支构建了面向表格智能任务的LLM。

awesome-llm-kg

Awesome papers about unifying LLMs and KGs

conve_reproduce

reproduc conve by pytorch without spodernet

embedkgqa_learning

learn the code of a paper in ACL 2020

kbqa-for-diagnosis

knowledge graph, Question answering system，include bilstm-crf, entity normalization, CasRel relation extraction, SlotGate-SLU NLU models , ect..

kge

LibKGE - A knowledge graph embedding library for reproducible research

lb0828

leeml-notes

李宏毅《机器学习》笔记，在线阅读地址：https://datawhalechina.github.io/leeml-notes

molca

Code for EMNLP2023 paper "MolCA: Molecular Graph-Language Modeling with Cross-Modal Projector and Uni-Modal Adapter".

pykeen

🤖 A Python library for learning and evaluating knowledge graph embeddings

research

novel deep learning research works with PaddlePaddle

rgcn_conve

An end-to-end knowledge representation learning model.

sghqs

ICDM2022大规模电商图上的风险商品检测比赛（第六名）

slice

Subgraph Based Learning of Contextual Embedding

technologyplatform

武汉大学语言与信息研究中心-技术演示平台

unilp

[WWW 2024] UniLP: Unified Topology-aware Generative Framework for Link Prediction in Knowledge Graph