daozhong

daozhong's Stars

• open-rmf/mapf

  Multi-agent (path finding) planning framework

  Language:Rust395

• Mcompetitions/M4-methods

  Data, Benchmarks, and methods submitted to the M4 forecasting competition

  Language:R730316

• lmz123321/proxy_causal_discovery

  Official implementation for NeurIPS23 paper: Causal Discovery from Subsampled Time Series with Proxy Variable

  Language:Python16

• SamDewriter/BreastCancer-CausalityInference

  The repository shows an approach to perform casual inference on Breast Cancer Data. Causal inference is carried out to determine the independent, actual effect of breast cancer that is component of a larger system

  Language:Jupyter Notebook2

• KingL-Wong/TransSLTEE

  Short- and Long-term Casual Effect Estimation by Double-head Transformer

  Language:Python1

• mnguyen0226/a3tgcn_cps

  Attention Temporal Graph Convolutional Networks architecture on water distribution systems using Tensorflow

  Language:Python5

• ZimingDai/NN_work

  GCN, GRU, TGCN, HA, ARIMA

  Language:Python41

• cassianobecker/tgcn

  Time-graph Convolutional Neural Networks

  Language:Python25

• Rajnish-bhagat/Traffic-Prediction-TGCN

  This model is a modified version of TGCN(Temporal Graph Convolution Network) for traffic prediction where the adjacency matrix has been replaced by the centrality matrices: Degree Centrality and Closeness Centrality Matrix. This helped in achieving improved results over multiple evaluation metrics. It has been tested on 2 datasets: SZ and Losloop.

  Language:Python5

• 815382636/GCN-tffc

  比较 TCN、GRU、GCN、TGCN、 TCN+GCN 在 交通流量预测方面的准确率效果。

  Language:Python10312

• Davidham3/STGCN

  implementation of STGCN for traffic prediction in IJCAI2018

  Language:Python11041

• VeritasYin/STGCN_IJCAI-18

  [IJCAI'18] Spatio-Temporal Graph Convolutional Networks

  Language:Python970296

• HobbitLong/SupContrast

  PyTorch implementation of "Supervised Contrastive Learning" (and SimCLR incidentally)

  Language:Python3k523

• Spijkervet/SimCLR

  PyTorch implementation of SimCLR: A Simple Framework for Contrastive Learning of Visual Representations by T. Chen et al.

  Language:Python740162

• facebookresearch/moco-v3

  PyTorch implementation of MoCo v3 https//arxiv.org/abs/2104.02057

  Language:Python1.2k152

• sergeytulyakov/mocogan

  MoCoGAN: Decomposing Motion and Content for Video Generation

  Language:Python567113

• facebookresearch/moco

  PyTorch implementation of MoCo: https://arxiv.org/abs/1911.05722

  Language:Python4.7k772

• ML4ITS/mtad-gat-pytorch

  PyTorch implementation of MTAD-GAT (Multivariate Time-Series Anomaly Detection via Graph Attention Networks) by Zhao et. al (2020, https://arxiv.org/abs/2009.02040).

  Language:Python31371

• NetManAIOps/OmniAnomaly

  KDD 2019: Robust Anomaly Detection for Multivariate Time Series through Stochastic Recurrent Neural Network

  Language:Python704191

• khundman/telemanom

  A framework for using LSTMs to detect anomalies in multivariate time series data. Includes spacecraft anomaly data and experiments from the Mars Science Laboratory and SMAP missions.

  Language:Jupyter Notebook999244

• spencerbraun/anomaly_transformer_pytorch

  PyTorch implementation of Anomaly Transformer: Time Series Anomaly Detection with Association Discrepancy

  Language:Jupyter Notebook21852

• Jhryu30/AnomalyBERT

  Language:Python11818

• jprochazka/adsb-receiver

  Create your own ADS-B receiver and web portal.

  Language:PHP572124

• open-aviation/pyopensky

  The Python interface for OpenSky database

  Language:Python4610

• SiliconSerenity/pyModeS-csv-parser

  Tools to improve the usefulness of pyModeS CSV output without modifying pyModeS itself

  Language:Python1

• junzis/pyModeS

  Python decoder for Mode S and ADS-B signals

  Language:Python529151

• quarree100/Resilience_analysis

  Functions for the calculation of resilience indicators

  Language:Python12

• somu15/Disf_Hazard

  This repo consists of the codes used for a paper titled "DISFUNCTIONALITY HAZARD: A RISK-BASED TOOL TO SUPPORT THE RESILIENT DESIGN OF SYSTEMS SUBJECTED TO SINGLE HAZARDS AND MULTIHAZARDS."

  Language:MATLAB3

• ThomasMBury/ewstools

  Python package for early warning signals (EWS) of bifurcations in time series data.

  Language:Python7116

• arnaudfrn/taxi-time

  Consulting project at HEC: Estimating taxi time of plane at Atlanta airport to improve ground operations

  Language:Python44