ReilYoung

ReilYoung's Stars

• LeronQ/STGCN-Pytorch

  Paper:Spatio-Temporal Graph Convolutional Networks: A Deep Learning Framework for Traffic Forecasting . Implementation of spatio-temporal graph convolutional network with PyTorch

  Language:Python11021

• LMissher/STGNN

  The pytorch implementation of Traffic Flow Prediction via Spatial Temporal Graph Neural Network

  Language:Python10818

• xihao-1223/TrafficFlowPredictionResources

  交通流量预测项目在研，以下是本人学习过程中积累整理的资源，会持续更新

  17233

• BUAABIGSCity/KDDCUP2022

  [KDD CUP 2022] 11th place solution of Spatial-Temporal Graph Neural Network for Wind Power Forecasting in Baidu KDD CUP 2022

  Language:Python4716

• microsoft/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.

  Language:Python25145

• zezhishao/STEP

  Code for our SIGKDD'22 paper Pre-training-Enhanced Spatial-Temporal Graph Neural Network For Multivariate Time Series Forecasting.

  Language:Python32335

• Davidham3/STSGCN

  AAAI 2020. Spatial-Temporal Synchronous Graph Convolutional Networks: A New Framework for Spatial-Temporal Network Data Forecasting

  Language:Python31999

• guoshnBJTU/ASTGCN-2019-pytorch

  Attention Based Spatial-Temporal Graph Convolutional Networks for Traffic Flow Forecasting, AAAI 2019, pytorch version

  Language:Python531152

• ibpsa/modelica-ibpsa

  Modelica library for building and district energy systems developed within IBPSA Project 1

  Language:Modelica14083

• lbl-srg/modelica-buildings

  Modelica Buildings library

  Language:Modelica238153

• lehaifeng/T-GCN

  Temporal Graph Convolutional Network for Urban Traffic Flow Prediction Method

  Language:Jupyter Notebook1.3k428

• zhouhaoyi/Informer2020

  The GitHub repository for the paper "Informer" accepted by AAAI 2021.

  Language:Python5.1k1.1k

• thuml/iTransformer

  Official implementation for "iTransformer: Inverted Transformers Are Effective for Time Series Forecasting" (ICLR 2024 Spotlight), https://openreview.net/forum?id=JePfAI8fah

  Language:Python924171

• qingsongedu/time-series-transformers-review

  A professionally curated list of awesome resources (paper, code, data, etc.) on transformers in time series.

  2.2k230

• openai/gym

  A toolkit for developing and comparing reinforcement learning algorithms.

  Language:Python34.2k8.6k

• cunjunyu/STAR

  [ECCV 2020] Code for "Spatio-Temporal Graph Transformer Networks for Pedestrian Trajectory Prediction"

  Language:Python33878

• dennybritz/reinforcement-learning

  Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

  Language:Jupyter Notebook20.2k6k

• yueliu1999/Awesome-Deep-Graph-Clustering

  Awesome Deep Graph Clustering is a collection of SOTA, novel deep graph clustering methods (papers, codes, and datasets).

  Language:Python741137

• Nixtla/vantage

  Use TimeGPT to predict cloud costs and detect anomalies.

  Language:Python101

• Nixtla/timegpt-forecaster-streamlit

  TimeGPT forecaster example using streamlit

  Language:Python3111

• Nixtla/nixtla

  TimeGPT-1: production ready pre-trained Time Series Foundation Model for forecasting and anomaly detection. Generative pretrained transformer for time series trained on over 100B data points. It's capable of accurately predicting various domains such as retail, electricity, finance, and IoT with just a few lines of code 🚀.

  Language:Jupyter Notebook1.9k151

• marcopeix/time-series-analysis

  Collection of notebooks for time series analysis

  Language:Jupyter Notebook287110

• rosehe1029/RL-KD-for-time-series-regression

  This repository is for paper "Reinforced Knowledge Distillation for Time Series Regression"

  4

• Nixtla/transfer-learning-time-series

  Transfer 🤗 Learning for Time Series Forecasting

  Language:Jupyter Notebook20825

• ibpsa/project1-boptest

  Building Optimization Performance Tests

  Language:Modelica10166

• microsoft/robustlearn

  Robust machine learning for responsible AI

  Language:Python43852

• haitongli/knowledge-distillation-pytorch

  A PyTorch implementation for exploring deep and shallow knowledge distillation (KD) experiments with flexibility

  Language:Python1.8k340

• AberHu/Knowledge-Distillation-Zoo

  Pytorch implementation of various Knowledge Distillation (KD) methods.

  Language:Python1.5k262

• dkozlov/awesome-knowledge-distillation

  Awesome Knowledge Distillation

  3.4k487

• 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.

  1.6k149