Peyman Noursalehi's repositories
abstreet
A traffic simulation game exploring how small changes to roads affect cyclists, transit users, pedestrians, and drivers.
advancedstatistics
Accompanying data for my book Advanced Statistics with Application in R - www.eugened.org
APPNP
A PyTorch implementation of "Predict then Propagate: Graph Neural Networks meet Personalized PageRank" (ICLR 2019).
ar-pde-cnn
Physics-constrained auto-regressive convolutional neural networks for dynamical PDEs
Capsule-Network-Tutorial
Pytorch easy-to-follow Capsule Network tutorial
clusternet
Code release for NeurIPS 2019 paper "End to End Learning and Optimization on Graphs"
comp150-bdl-19f-assignments
Seed repository with template notebooks and starter code for COMP 150 BDL in Fall 2019
cookbook-2nd-code
Code of the IPython Cookbook, Second Edition, by Cyrille Rossant, Packt Publishing 2018 [read-only repository]
CS224n-2019-solutions
Complete solutions for Stanford CS224n, winter, 2019
cs224n-nlp-dl-2019
CS224n: Natural Language Processing with Deep Learning, Winter 2019.
deep-opt-auctions
Implementation of Optimal Auctions through Deep Learning
deepbayes-2018
Seminars DeepBayes Summer School 2018
deeprl_signal_control
The implementation of deep RL algorithms on traffic signal control
flow
Computational framework for reinforcement learning in traffic control
former
Simple transformer implementation from scratch in pytorch.
getting_started_with_pyspark
Materials for class Getting Started with Pyspark
HRL-for-combinatorial-optimization
Hierarchical deep reinforcement learning for combinatorial optimization problem
hrl-papers
A collection of research and survey papers of hierarchical reinforcement learning (HRL).
IntroToJulia
A Deep Introduction to Julia for Data Science and Scientific Computing
polgrad-multinoise
Algorithms for computing and learning robust controllers for dynamical systems with multiplicative noise
pydata-amsterdam2019-numba
Numba GPU tutorial notebooks for PyData Amsterdam 2019
pydata-london-2019
Tutorials and talks held from PyData London 2019
pydatanyc_2019
Materials for the Neural Network tutorial at PyData NYC 2019
Traffic-Assignment
This program solves the user equilibrium and stochastic user equilibrium for the city network