kaiwxai's Stars
thuml/Large-Time-Series-Model
Official code, datasets and checkpoints for "Timer: Generative Pre-trained Transformers Are Large Time Series Models" (ICML 2024)
vduong143/CAT-KDD-2024
Source code for the paper "CAT: Interpretable Concept-based Taylor Additive Models".
ymcui/Chinese-LLaMA-Alpaca-3
中文羊驼大模型三期项目 (Chinese Llama-3 LLMs) developed from Meta Llama 3
DECO2023/DECO
Lightning-AI/lit-llama
Implementation of the LLaMA language model based on nanoGPT. Supports flash attention, Int8 and GPTQ 4bit quantization, LoRA and LLaMA-Adapter fine-tuning, pre-training. Apache 2.0-licensed.
meta-llama/llama
Inference code for Llama models
ddz16/TSFpaper
This repository contains a reading list of papers on Time Series Forecasting/Prediction (TSF) and Spatio-Temporal Forecasting/Prediction (STF). These papers are mainly categorized according to the type of model.
thuml/Time-Series-Library
A Library for Advanced Deep Time Series Models.
WxxShirley/Awesome-Graph-Prompt
Awesome Papers About Performing Prompting On Graphs
deepkashiwa20/MemeSTN
WWW23-Learning Social Meta-knowledge for Nowcasting Human Mobility in Disaster
LibCity/Bigscity-LibCity
LibCity: An Open Library for Urban Spatial-temporal Data Mining
MiaoHaoSunny/MT-ASTN
Code for Paper "Multi-task Adversarial Spatial-Temporal Networks for Crowd Flow Prediction"
wanzhixiao/MDL
a pytorch version implement of paper "Flow Prediction in Spatio-Temporal Networks Based on Multitask Deep Learning"
zhanglijun95/AutoMTL
Code for "AutoMTL: A Programming Framework for Automating Efficient Multi-Task Learning"
jindongwang/transferlearning
Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习
Zhang-Zijian/PromptST
This repo is for the implementation of CIKM 2023 paper: "Prompt-Enhanced Spatio-Temporal Multi-Attribute Prediction"
HKUDS/GraphGPT
[SIGIR'2024] "GraphGPT: Graph Instruction Tuning for Large Language Models"
Applied-Machine-Learning-Lab/RMTL
Sean-Huang65/AUX-TS
official code for our KDD21 paper "Adaptive Transfer Learning on Graph Neural Networks"
zhyliu00/TPB
Code for CIKM'23 "Cross-city Few-shot Traffic Forecasting via Traffic Pattern Bank"
RManLuo/MAMDR
Official code implementation for ICDE 23 paper MAMDR: A Model Agnostic Learning Method for Multi-Domain Recommendation
KL4805/CrossTReS
Repo for CrossTReS: Cross-city Transfer Learning for Traffic Prediction via Source Region Selection
GestaltCogTeam/STEP
Code for our SIGKDD'22 paper Pre-training-Enhanced Spatial-Temporal Graph Neural Network For Multivariate Time Series Forecasting.
jwwthu/GNN4Traffic
This is the repository for the collection of Graph Neural Network for Traffic Forecasting.
shengchaochen82/MetePFL
[IJCAI'23] Prompt Federated Learning for Weather Forecasting: Toward Foundation Models on Meteorological Data.
zjukg/KGTransformer
[Paper][WWW2023] Structure Pre-training and Prompt Tuning for Knowledge Graph Transfer
AndrewZhou924/Awesome-Graph-Prompting
A curated list of resources for graph prompting methods
Starlien95/GraphPrompt
GraphPrompt: Unifying Pre-Training and Downstream Tasks for Graph Neural Networks
MingChen-Sun/GPPT
sheldonresearch/ProG
A Unified Python Library for Graph Prompting