Tong Nie's repositories
ImputeFormer
[KDD 2024] "ImputeFormer: Low Rankness-Induced Transformers for Generalizable Spatiotemporal Imputation"
tensor4kriging
Laplacian-enhanced tensor learning for large-scale spatiotemporal traffic data kriging (estimation)
traffic_dynamics
Spatiotemporal Implicit Neural Representation as a Generalized Traffic Data Learner
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.
FCNVMB-Deep-learning-based-seismic-velocity-model-building
Deep-learning inversion: A next-generation seismic velocity model building method
l5kit
L5Kit - https://level-5.global/
LeuvenMapMatching
Leuven.MapMatching toolbox for aligning GPS measurements to locations on a map.
mapmatching
An arcpy based HMM map matching tool
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.
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
tensor-learning
Python codes for low-rank tensor factorization, tensor completion, and tensor regression techniques.
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