tongnie

BHT-ARIMA

Code for paper: Block Hankel Tensor ARIMA for Multiple Short Time Series Forecasting (AAAI-20)

BrewPOTS

The tutorials for PyPOTS, guide you to model partially-observed time series datasets.

C-LoRA

CIKM'24: Channel-Aware Low-Rank Adaptation for Long-term Series Forecasting

d2l-en

Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 300 universities from 55 countries including Stanford, MIT, Harvard, and Cambridge.

GNN4Flow

TRC: ''Towards better traffic volume estimation: Jointly addressing the underdetermination and nonequilibrium problems with correlation-adaptive GNNs''.

ImputeFormer

[KDD 2024] "ImputeFormer: Low Rankness-Induced Transformers for Generalizable Spatiotemporal Imputation"

NexuSQN

Repository for ''Contextualizing MLP-Mixers Spatiotemporally for Urban Data Forecast at Scale''

tensor4kriging

Laplacian-enhanced tensor learning for large-scale spatiotemporal traffic data kriging (estimation)

tensorlib

Repository for paper 'Truncated tensor Schatten p-norm based approach for spatiotemporal traffic data imputation with complicated missing patterns'.

traffic_dynamics

Spatiotemporal Implicit Neural Representation as a Generalized Traffic Data Learner

tongnie/ImputeFormer

[KDD 2024] "ImputeFormer: Low Rankness-Induced Transformers for Generalizable Spatiotemporal Imputation"

tongnie/tensorlib

Repository for paper 'Truncated tensor Schatten p-norm based approach for spatiotemporal traffic data imputation with complicated missing patterns'.

tongnie/C-LoRA

CIKM'24: Channel-Aware Low-Rank Adaptation for Long-term Series Forecasting

tongnie/GNN4Flow

TRC: ''Towards better traffic volume estimation: Jointly addressing the underdetermination and nonequilibrium problems with correlation-adaptive GNNs''.

tongnie/NexuSQN

Repository for ''Contextualizing MLP-Mixers Spatiotemporally for Urban Data Forecast at Scale''

tongnie/tensor4kriging

Laplacian-enhanced tensor learning for large-scale spatiotemporal traffic data kriging (estimation)

tongnie/traffic_dynamics

Spatiotemporal Implicit Neural Representation as a Generalized Traffic Data Learner

tongnie/BHT-ARIMA

Code for paper: Block Hankel Tensor ARIMA for Multiple Short Time Series Forecasting (AAAI-20)

tongnie/BrewPOTS

The tutorials for PyPOTS, guide you to model partially-observed time series datasets.

tongnie/d2l-en

Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 300 universities from 55 countries including Stanford, MIT, Harvard, and Cambridge.

tongnie/FCNVMB-Deep-learning-based-seismic-velocity-model-building

Deep-learning inversion: A next-generation seismic velocity model building method

tongnie/l5kit

L5Kit - https://level-5.global/

tongnie/LeuvenMapMatching

Leuven.MapMatching toolbox for aligning GPS measurements to locations on a map.

tongnie/mapmatching

An arcpy based HMM map matching tool

tongnie/paper-reading

深度学习经典、新论文逐段精读

tongnie/pytorch-tensor-decompositions

PyTorch implementation of [1412.6553] and [1511.06530] tensor decomposition methods for convolutional layers.

tongnie/PyPOTS

A Python toolkit/library for reality-centric machine/deep learning and data mining on partially-observed time series, including SOTA neural network models for scientific analysis tasks of imputation, classification, clustering, forecasting, & anomaly detection on incomplete industrial (irregularly-sampled) multivariate TS with NaN missing values

tongnie/reproducible-tensor-completion-state-of-the-art

tongnie/tensor-learning

Python codes for low-rank tensor factorization, tensor completion, and tensor regression techniques.

tongnie/tensorly

TensorLy: Tensor Learning in Python.

tongnie/tensorly-notebooks

Tensor methods in Python with TensorLy

tongnie/TensorLy-Torch

TensorLy-Torch: Deep Tensor Learning with TensorLy and PyTorch

tongnie/TensorNetwork

A library for easy and efficient manipulation of tensor networks.

tongnie/The-Kaggle-Book

Code Repository for The Kaggle Book, Published by Packt Publishing

tongnie/Traffic-Prediction-Open-Code-Summary

Summary of open source code for deep learning models in the field of traffic prediction

tongnie/transdim

Machine learning for transportation data imputation and prediction.

tongnie/TransPAI

Transportation data online prediction

tongnie/TransViz

Transportation data visualization