Pinned Repositories
2021.0104
3D-ResNets-PyTorch
3D ResNets for Action Recognition (CVPR 2018)
ansj_seg
ansj分词.ict的真正java实现.分词效果速度都超过开源版的ict. 中文分词,人名识别,词性标注,用户自定义词典
Anti-Asian-Slurs
CasDENN
Code for "Efficient and Effective Information Cascade Prediction via Degree Distribution Evolution Neural Networks"
facebook-data-mining
Facebook Data Mining
FRRPP
Feature Regularized Reinforced Poisson Process Model for Predicting Popularity Dynamics
TensorFlow-Autoencoders
Implementations of autoencoder, generative adversarial networks, variational autoencoder and adversarial variational autoencoder
VAE-tensorflow
Code for Variational AutoEncoder(VAE) using tensorflow
tmacmilan's Repositories
tmacmilan/2021.0104
tmacmilan/Awesome-Language-Model-on-Graphs
A curated list of papers and resources based on "Large Language Models on Graphs: A Comprehensive Survey".
tmacmilan/Awesome-LLM-Graph-Learning
tmacmilan/Awesome-LLMs-in-Graph-tasks
A curated collection of research papers exploring the utilization of LLMs for graph-related tasks.
tmacmilan/Bert-Chinese-Text-Classification-Pytorch
使用Bert，ERNIE，进行中文文本分类
tmacmilan/Boundary-spanning-and-citation-paper
How Boundary-spanning Discovery Sparkles Citation: From Citation Count to Citation Network
tmacmilan/causal-learn
Causal Discovery for Python. Translation and extension of the Tetrad Java code.
tmacmilan/causalml
Uplift modeling and causal inference with machine learning algorithms
tmacmilan/cdindex
tmacmilan/ChatGLM3
ChatGLM3 series: Open Bilingual Chat LLMs | 开源双语对话语言模型
tmacmilan/ChatGPT-Hub
tmacmilan/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.
tmacmilan/formation-mechanism-of-research-leadership-relations
tmacmilan/GPPT
tmacmilan/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
tmacmilan/LLM-NER
LLM for NER
tmacmilan/LLM-UM-Reading
A list of large language models for user modeling (LLM-UM) papers.
tmacmilan/LLM4Graph
tmacmilan/LLMGNN
Label-free Node Classification on Graphs with Large Language Models (LLMS)
tmacmilan/MMGNN
Code and data for MMGNN (paper accepted by WSDM2023)
tmacmilan/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。
tmacmilan/potato
potato: portable text annotation tool
tmacmilan/Quantifying-scientists-research-ability-by-taking-institutions-scientific-impact-as-priori-informa
Quantifying scientists’ research ability by taking institutions’ scientific impact as priori information
tmacmilan/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.
tmacmilan/STMAP
Main code for STMAP
tmacmilan/TAG-Benchmark
Benchmark
tmacmilan/TAPE
Official Implementation of ICLR 2024 paper "Harnessing Explanations: LLM-to-LM Interpreter for Enhanced Text-Attributed Graph Representation Learning"
tmacmilan/UrbanGPT
[KDD2024] "UrbanGPT: Spatio-Temporal Large Language Models"
tmacmilan/zeroRumor_AAAI
tmacmilan/ZhihuRec-Dataset