Reza Safarzadeh (safarzadeh-reza)

safarzadeh-reza

Geek Repo

Company:https://www.ucalgary.ca/labs/intelligent-geospatial-data-mining/team

Location:Calgary, Canada

Home Page:https://safarzadeh-reza.github.io/

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Reza Safarzadeh's starred repositories

gcnns

The implementations of Graph Convolutional Neural Network models

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osrm-backend

Open Source Routing Machine - C++ backend

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discrete_frechet

Compute the Fréchet distance between two polygonal curves in Euclidean space.

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leafmap

A Python package for interactive mapping and geospatial analysis with minimal coding in a Jupyter environment

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ritt

javascript only mqtt GPS tracker with openstreetmap.

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ved-explore

Exploration of the Vehicle Energy Dataset

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map_matching

Algorithms to find the streets that a vehicle should have traveled to generate a given GPS track

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sigma-girl-MIIRL

Code of Truly Batch Model-Free Inverse Reinforcement Learning about Multiple Intentions

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taxicab

Accurate routing for OpenStreetMap/OSMnx

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population-irl

(Experimental) Inverse reinforcement learning from trajectories generated by multiple agents with different (but correlated) rewards

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MaxEnt_IRL_trajectory_interpolation

Example of the MaxEnt IRL trajectory interpolation method

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SpectralMEIRL

Spectral Method for Multiple Experts Inverse Reinforcement Learning

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gail_ppo_tf

Tensorflow implementation of Generative Adversarial Imitation Learning(GAIL) with discrete action

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transdim

Machine learning for transportation data imputation and prediction.

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damiirl

Deep Adaptive Multi-intention Inverse Reinforcement Learning

License:Apache-2.0Stargazers:1Issues:0Issues:0
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trajectory_classification

Python code to re-produce results and illustrations of trajectory classification.

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PyMove

PyMove is a Python library to simplify queries and visualization of trajectories and other spatial-temporal data

License:MITStargazers:1Issues:0Issues:0

comparing-trajectory-clustering-methods

Comparing Different Clustering Methods and Similarity Metrics on Trajectory Datasets

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Trajectory-Analysis-and-Classification-in-Python-Pandas-and-Scikit-Learn

Formed trajectories of sets of points.Experimented on finding similarities between trajectories based on DTW (Dynamic Time Warping) and LCSS (Longest Common SubSequence) algorithms.Modeled trajectories as strings based on a Grid representation.Benchmarked KNN, Random Forest, Logistic Regression classification algorithms to classify efficiently trajectories.

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MEIRL

Algorithm for multiple-expert inverse reinforcement learning

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KDD2021_guizu

Source codes of KDD2021 paper "Generating Mobility Trajectories with Retained Data Utility"

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map_matching-1

Algorithms to find the streets that a vehicle should have traveled to generate a given GPS track

License:GPL-3.0Stargazers:1Issues:0Issues:0

kaizen

A library to map match and help tackle the problem of overlapping/intersecting road and building footprint that arises in the process of map making

License:MITStargazers:1Issues:0Issues:0

kaizen

A library to map match and help tackle the problem of overlapping/intersecting road and building footprint that arises in the process of map making

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GNN4Traffic

This is the repository for the collection of Graph Neural Network for Traffic Forecasting.

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