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This program solves the user equilibrium and stochastic user equilibrium for the city network
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This repository contains a reading list of papers on Time Series Forecasting/Prediction (TSF) and Spatio-Temporal Forecasting/Prediction (STF). These papers are mainly categorized according to the …
Documentation for the General Bikeshare Feed Specification, a standardized data feed for shared mobility system availability. Maintained by MobilityData
An R package for statistical modelling and inference in transportation research.
A deep learning framework for symbolic optimization.
Discovering dynamic patterns from spatiotemporal data with time-varying low-rank autoregression. (IEEE TKDE'23)
Bayesian Neural Network Surrogates for Bayesian Optimization
Graphic notes on Gilbert Strang's "Linear Algebra for Everyone"
OpenSTL: A Comprehensive Benchmark of Spatio-Temporal Predictive Learning
tsl: a PyTorch library for processing spatiotemporal data.
Time series forecasting with PyTorch
PyVBMC: Variational Bayesian Monte Carlo algorithm for posterior and model inference in Python
Bayesian optimisation & Reinforcement Learning library developped by Huawei Noah's Ark Lab
The released code of t-CTV algorithms, mainly proposed in the paper "Guaranteed Tensor Recovery Fused Low-rankness and Smoothness"， published in TPAMI 2023
Tensor Approximation Package: a Python package for the approximation of functions and tensors.
I am in [research] stepped in so far that, should I wade no more, Returning were as tedious as go o'er. -MacBeth
Reproducible-Bayesian-Tensor-Machine-Learning-SOTA
Official implementation of Earthformer
Materials of the Nordic Probabilistic AI School 2022.
BlackJAX is a Bayesian Inference library designed for ease of use, speed and modularity.
Implementation of functional factor analysis (FFA) using nearly mutually orthogonal (NeMO) processes