- 🎓 I'm a Ph.D. student at University of Cagary.
- 🌐 Portfolio: https://safarzadeh-reza.github.io
Skills and Interests:
Name: Reza Safarzadeh
Type: User
Company: https://www.ucalgary.ca/labs/intelligent-geospatial-data-mining/team
Bio: Ph.D. Candidate | Spatial Data Scientist
Location: Calgary, Canada
Skills and Interests:
Truck Traffic Flow Prediction Based on LSTM and GRU Methods with Sampled GPS Data
A python model of 3D Bin Packing problem
Data Driven Split Delivery Vehicle Routing with 3D Loading
Attention Based Spatial-Temporal Graph Convolutional Networks for Traffic Flow Forecasting, AAAI 2019, pytorch version
This is a Pytorch implementation of ASTGNN. Now the corresponding paper is available online at https://ieeexplore.ieee.org/document/9346058.
An automated AI to find the shortest path using Q-Learning
A selection of state-of-the-art research materials on decision making and motion planning.
A selection of state-of-the-art research materials on trajectory prediction
Literature and code for inverse reinforcement leanring research
This repo includes introduction, code and dataset of our paper Deep Sequence Learning with Auxiliary Information for Traffic Prediction (KDD 2018).
A segmentation of GPS-enabled bicycle trajectories in Python 2.7 with walkthrough in iPython Notebook.
Comparing Different Clustering Methods and Similarity Metrics on Trajectory Datasets
Configurable Map Viewer
HarvardX CS50W. Project 1
Deep Adaptive Multi-intention Inverse Reinforcement Learning
Python package built to ease deep learning on graph, on top of existing DL frameworks.
User can set up destination for any agent to navigate on Google Map and learn the best route for the agent based on its current condition and the traffic. Our result is 10% less energy consumption than the route provided by Google map
This is a test repository for ENGO 645 Lab
A Python implementation of FastDTW
A lightweight library for Web Location-based Augmented Reality.
GMAN: A Graph Multi-Attention Network for Traffic Prediction
This is the repository for the collection of Graph Neural Network for Traffic Forecasting.
Slides of my talk "Handling GPS data with Python" at the EuroPython 2016 in Bilbao
Assignments for Berkeley CS 285: Deep Reinforcement Learning (Fall 2020)
Clean PyTorch implementations of imitation and reward learning algorithms
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.