yuanhaitao's repositories
GNN4Traffic
This is the repository for the collection of Graph Neural Network for Traffic Forecasting.
Awesome-Code-LLM
👨💻 An awesome and curated list of best code-LLM for research.
Awesome-GNN4TS
📈 Awesome resources related to GNNs for Time Series Analysis (GNN4TS) 🔥 https://arxiv.org/abs/2307.03759
AutoCTS
The PyTorch implementation of the paper "AutoCTS: Automated Correlated Time Series Forecasting".
Awesome-TimeSeries-AIOps-LM-LLM
A professional list on Large (Language) Models and Foundation Models (LLM, LM, FM) for Time Series, Spatiotemporal, Event Data, and AIOps.
Bigscity-LibCity
LibCity: An Open Library for Traffic Prediction
data-centric-ai
Resources for Data Centric AI
DCRNN_PyTorch
Diffusion Convolutional Recurrent Neural Network Implementation in PyTorch
Deep-reinforcement-learning-with-pytorch
PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....
deep-RL-elements
Deep RL algorithm in pytorch
EHRSQL
EHRSQL: A Practical Text-to-SQL Benchmark for Electronic Health Records
FOST
FOST is a general forecasting tool, which demonstrate our experience and advanced technology in practical forecasting domains, including temporal, spatial-temporal and hierarchical forecasting. Current general forecasting tools (Gluon-TS by amazon, Prophet by facebook etc.) can not process and model structural graph data, especially in spatial domains, also those tools suffer from tradeoff between usability and accuracy. To address these challenges, we design and develop FOST and aims to empower engineers and data scientists to build high-accuracy and easy-usability forecasting tools.
GitHubGraduation-2021
Join the GitHub Graduation Yearbook and "walk the stage" on June 5.
layumi.github.io
UTS Group Seminar http://www.zdzheng.xyz
ML4DB-paper-list
Papers for database systems powered by artificial intelligence (machine learning for database)
MultiObjectiveOptimization
Source code for Neural Information Processing Systems (NeurIPS) 2018 paper "Multi-Task Learning as Multi-Objective Optimization"
nndl.github.io
《神经网络与深度学习》 邱锡鹏著 Neural Network and Deep Learning
ohmyzsh
🙃 A delightful community-driven (with 2,000+ contributors) framework for managing your zsh configuration. Includes 300+ optional plugins (rails, git, macOS, hub, docker, homebrew, node, php, python, etc), 140+ themes to spice up your morning, and an auto-update tool so that makes it easy to keep up with the latest updates from the community.
sst-gcn
Stochastic Spatio-Temporal Graph Convolutional Network
STCPA
Official code for "Traffic Speed Imputation with Spatio-Temporal Attentions and Cycle-Perceptual Training" (CIKM'22).
text2sql-demo
This project provides a demo for text-to-SQL.
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.