tmacmilan's repositories
Awesome-Language-Model-on-Graphs
A curated list of papers and resources based on "Large Language Models on Graphs: A Comprehensive Survey".
Awesome-LLM-in-Social-Science
Awesome papers involving LLMs in Social Science.
Awesome-LLMs-in-Graph-tasks
A curated collection of research papers exploring the utilization of LLMs for graph-related tasks.
Bert-Chinese-Text-Classification-Pytorch
使用Bert，ERNIE，进行中文文本分类
Boundary-spanning-and-citation-paper
How Boundary-spanning Discovery Sparkles Citation: From Citation Count to Citation Network
Causal-Inference-and-Discovery-in-Python
Causal Inference and Discovery in Python by Packt Publishing
ChatGLM3
ChatGLM3 series: Open Bilingual Chat LLMs | 开源双语对话语言模型
ConvoKit
ConvoKit is a toolkit for extracting conversational features and analyzing social phenomena in conversations. It includes several large conversational datasets along with scripts exemplifying the use of the toolkit on these datasets.
gpt_academic
为GPT/GLM等LLM大语言模型提供实用化交互接口，特别优化论文阅读/润色/写作体验，模块化设计，支持自定义快捷按钮&函数插件，支持Python和C++等项目剖析&自译解功能，PDF/LaTex论文翻译&总结功能，支持并行问询多种LLM模型，支持chatglm3等本地模型。接入通义千问, deepseekcoder, 讯飞星火, 文心一言, llama2, rwkv, claude2, moss等。
Llama-Chinese
Llama中文社区，Llama3在线体验和微调模型已开放，实时汇总最新Llama3学习资料，已将所有代码更新适配Llama3，构建最好的中文Llama大模型，完全开源可商用
LLM-NER
LLM for NER
LLM-UM-Reading
A list of large language models for user modeling (LLM-UM) papers.
LLMGNN
Label-free Node Classification on Graphs with Large Language Models (LLMS)
MMGNN
Code and data for MMGNN (paper accepted by WSDM2023)
MSA-BiGCN
中山大学2022届本科生毕业论文《基于注意力机制和图卷积神经网络的多任务谣言检测》代码实现和baseline代码。现采用BERT作为编码器，实现了新的模型。
potato
potato: portable text annotation tool
Quantifying-scientists-research-ability-by-taking-institutions-scientific-impact-as-priori-informa
Quantifying scientists’ research ability by taking institutions’ scientific impact as priori information
RWKV-LM
RWKV is an RNN with transformer-level LLM performance. It can be directly trained like a GPT (parallelizable). So it's combining the best of RNN and transformer - great performance, fast inference, saves VRAM, fast training, "infinite" ctx_len, and free sentence embedding.
STMAP
Main code for STMAP
TAG-Benchmark
Benchmark
TAPE
Official Implementation of ICLR 2024 paper "Harnessing Explanations: LLM-to-LM Interpreter for Enhanced Text-Attributed Graph Representation Learning"
UrbanGPT
[KDD2024] "UrbanGPT: Spatio-Temporal Large Language Models"