tongnie Goto Github PK
Name: Tong Nie
Type: User
Company: Tongji University
Bio: Ph.D. student | Machine learning | Intelligent transportation systems | Spatiotemporal data modeling
Location: Shanghai,China
Name: Tong Nie
Type: User
Company: Tongji University
Bio: Ph.D. student | Machine learning | Intelligent transportation systems | Spatiotemporal data modeling
Location: Shanghai,China
Code for paper: Block Hankel Tensor ARIMA for Multiple Short Time Series Forecasting (AAAI-20)
The tutorials for PyPOTS, guide you to model partially-observed time series datasets.
CIKM'24: Channel-Aware Low-Rank Adaptation for Long-term Series Forecasting
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 300 universities from 55 countries including Stanford, MIT, Harvard, and Cambridge.
Deep-learning inversion: A next-generation seismic velocity model building method
TRC: ''Towards better traffic volume estimation: Jointly addressing the underdetermination and nonequilibrium problems with correlation-adaptive GNNs''.
[KDD 2024] "ImputeFormer: Low Rankness-Induced Transformers for Generalizable Spatiotemporal Imputation"
L5Kit - https://level-5.global/
Leuven.MapMatching toolbox for aligning GPS measurements to locations on a map.
An arcpy based HMM map matching tool
Repository for ''Contextualizing MLP-Mixers Spatiotemporally for Urban Data Forecast at Scale''
深度学习经典、新论文逐段精读
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
PyTorch implementation of [1412.6553] and [1511.06530] tensor decomposition methods for convolutional layers.
Python codes for low-rank tensor factorization, tensor completion, and tensor regression techniques.
Laplacian-enhanced tensor learning for large-scale spatiotemporal traffic data kriging (estimation)
Repository for paper 'Truncated tensor Schatten p-norm based approach for spatiotemporal traffic data imputation with complicated missing patterns'.
TensorLy: Tensor Learning in Python.
Tensor methods in Python with TensorLy
TensorLy-Torch: Deep Tensor Learning with TensorLy and PyTorch
A library for easy and efficient manipulation of tensor networks.
Code Repository for The Kaggle Book, Published by Packt Publishing
Summary of open source code for deep learning models in the field of traffic prediction
Spatiotemporal Implicit Neural Representation as a Generalized Traffic Data Learner
Machine learning for transportation data imputation and prediction.
Transportation data online prediction
Transportation data visualization
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.