tongnie

ImputeFormer

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

C-LoRA

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

NexuSQN

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

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

GNN4Flow

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

tensor4kriging

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

awesome-llm4tr

Exploring the Roles of Large Language Models in Reshaping Transportation Systems: A Survey, Framework, and Roadmap

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

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

IMPEL

TRE'25: Joint Estimation and Prediction of City-wide Delivery Demand: A Large Language Model Empowered Graph-based Learning Approach

LeuvenMapMatching

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

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.

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.

l5kit

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

paper-reading

深度学习经典、新论文逐段精读

pytorch-tensor-decompositions

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

tongnie.github.io

Github Pages template based upon HTML and Markdown for personal, portfolio-based websites.

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

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

tensorly

TensorLy: Tensor Learning in Python.

tensorly-notebooks

Tensor methods in Python with TensorLy

TensorLy-Torch

TensorLy-Torch: Deep Tensor Learning with TensorLy and PyTorch

TensorNetwork

A library for easy and efficient manipulation of tensor networks.

The-Kaggle-Book

Code Repository for The Kaggle Book, Published by Packt Publishing

Traffic-Prediction-Open-Code-Summary

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

transdim

Machine learning for transportation data imputation and prediction.

TransPAI

Transportation data online prediction

TransViz

Transportation data visualization

Urban_Imputation