CurryaNa's Stars
dice-group/TeBaQA
A question answering system which utilises machine learning.
QwenLM/Qwen2.5
Qwen2.5 is the large language model series developed by Qwen team, Alibaba Cloud.
TJUNLP/TTMF
TTMF: A Triple Trustworthiness Measurement Frame for Knowledge Graphs
nidimajiabie/yunnanLLM
国内中文开源大语言模型的微调和推理——baichuan7B, chatglm2-6B, Qwen-7B-chat
ThroneW/LLM_Robot_Chat
基于大模型的多功能聊天机器人工具箱,包括三个主要的工具:1、一个基于LangChain的医疗问答机器人 ,专门针对医疗领域的咨询和问题解答;2、一个基于ChatGLM的文本工具,能够进行文本分类、实体关系抽取和文本匹配,适用于处理复杂的文本信息;3、一个基于GPT-2的全精度微调闲聊机器人
huggingface/transformers
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
meta-llama/llama
Inference code for Llama models
f/awesome-chatgpt-prompts
This repo includes ChatGPT prompt curation to use ChatGPT and other LLM tools better.
RomFas/PRGE
Error detection in Knowledge Graphs: Path Ranking, Embeddings or both?
khalilibra22/KG_ErrorsDetection_TransE
Errors detection in knowledge graph using TransE algorithm and python
Jean-KOUAGOU/EnhancedRuleLearning
We implement an approach for improving rule learning by means of enriching KGs with link prediction
GemsLab/KGist
Knowledge Graph summarization for anomaly/error detection & completion (WebConf '20)
XiaojuanTang/RulE
RulE: Neural-Symbolic Knowledge Graph Reasoning with Rule Embedding
sung-won-kim/TEG
The official source code for Task-Equivariant Graph Few-shot Learning (TEG) at KDD 2023.
SongW-SW/REFORM
dair-iitd/NS-KGC-AUG
facebookresearch/kbc
Tools for state of the art Knowledge Base Completion.
vivian1993/NCRL
The official Pytorch implementation of the paper Neural Compositional Rule Learning for Knowledge Graph Reasoning
zjukg/Ruleformer
[Paper][COLING2022] Ruleformer: Context-aware Rule Mining over Knowledge Graph
vivian1993/RLogic
DeepGraphLearning/RNNLogic
zhichunguo/Meta-MGNN
Few-Shot Graph Learning for Molecular Property Prediction
crisostomi/metric-few-shot-graph
Few-Shot Graph Classification via distance metric learning.
kaize0409/GPN_Graph-Few-shot
Implementation of CIKM2020 -- Graph Prototypical Networks for Few-shot Learning on Attributed Networks
twitter-research/meta-learning-lstm
This repo contains the source code accompanying a scientific paper with the same name.
dragen1860/MAML-Pytorch
Elegant PyTorch implementation of paper Model-Agnostic Meta-Learning (MAML)
weihua916/powerful-gnns
How Powerful are Graph Neural Networks?
mims-harvard/G-Meta
Graph meta learning via local subgraphs (NeurIPS 2020)
AnselCmy/MetaR
Source code for the EMNLP 2019 paper "Meta Relational Learning for Few-Shot Link Prediction in Knowledge Graphs"
ChengtaiCao/Meta-GNN