gzhai001

mamba-tabular

Mambular is a Python package that brings the power of Mamba architectures to tabular data, offering a suite of deep learning models for regression, classification, and distributional regression tasks. This includes models like Mambular, FT-Transformer, TabTransformer and tabular ResNets.

LCSim

LCSim: A Large-Scale Controllable Traffic Simulator

Reconstruct100CarNDSData

This repository reconstructs bird's eye view trajectories of vehicles involved in crashes and near-crashes from 100-Car Naturalistic Driving Study (NDS) radar data.

GPBoost

Combining tree-boosting with Gaussian process and mixed effects models

Awesome-Multimodal-Urban-Computing

A professional list on Multi-modal Data Fusion Models and Key Datasets for Urban Computing.

DriverSpaceInference

This repository offers code to repeat experiments and reuse the method in the study "Inferring vehicle spacing in urban traffic from trajectory data".

tsai

Time series Timeseries Deep Learning Machine Learning Python Pytorch fastai | State-of-the-art Deep Learning library for Time Series and Sequences in Pytorch / fastai

FL-bench

Benchmark of federated learning. Dedicated to the community. 🤗

Resource---Emerging-Mixed-Traffic-of-AV-and-HDV

Online Resource Repository: Datasets, Simulation Platforms, and Empirical Research on Emerging Mixed Traffic of Automated Vehicles and Human-driven Vehicles

IDM_Bayesian_Calibration

WaymoObjectDetection

Object Detection training and evaluation based on Waymo Dataset

bayesian-machine-learning

Notebooks about Bayesian methods for machine learning

The-Reinforcement-Learning-Workshop

Advanced-Python-Programming-Second-Edition

Advanced Python Programming, Second Edition, published by Packt

bayesian-optimization-in-action

Source code for Bayesian Optimization in Action, published by Manning

FairBayesianOpt

iml_bremen_2023

Exercises for the Lecture in Interpretable Machine Learning taught at the University of Bremen in 2023

SLEM

SLEM: Super Learning Equation Modeling for General Causal Inference with DAGs

NIS_for_Causal_Emergence

DAIR-V2X-Seq

GANITE

Codebase for GANITE: Estimation of Individualized Treatment Effects using GANs - ICLR 2018

causal-confusion

Code for paper Causal Confusion in Imitation Learning

tile2net

Automated mapping of pedestrian networks from aerial imagery tiles

urban-pulse

A standalone version of Urban Pulse

rl-book

Source codes for the book "Reinforcement Learning: Theory and Python Implementation"

KTBoost

A Python package which implements several boosting algorithms with different combinations of base learners, optimization algorithms, and loss functions.

NCHRP-BSM-Traffic-Measures

DeepRL

Deep Reinforcement Learning Lab, a platform designed to make DRL technology and fun for everyone

flow

Computational framework for reinforcement learning in traffic control

causal-ml

Must-read papers and resources related to causal inference and machine (deep) learning