Pinned Repositories
3d
cityastext
An interactive map showing the center of cities, towns and villages
data_driven_modeling_2016
Codes and presentations for Data Driven Modeling course at ETH Zurich, chair for Computer Aided Architectural Design (CAAD)
data_driven_modeling_2017
Codes and presentations for Data Driven Modeling course at ETH Zurich, chair for Computer Aided Architectural Design (CAAD) 2017
data_driven_modeling_2018
Codes and presentations for Data Driven Modeling course at ETH Zurich, chair for Computer Aided Architectural Design (CAAD) 2018
Force_Density_Method
An implementation of Force Density Method (FDM) in Python
SOMPY
A Python Library for Self Organizing Map (SOM)
Structural_Form_Machine_Learning
sevamoo's Repositories
sevamoo/SOMPY
A Python Library for Self Organizing Map (SOM)
sevamoo/data_driven_modeling_2018
Codes and presentations for Data Driven Modeling course at ETH Zurich, chair for Computer Aided Architectural Design (CAAD) 2018
sevamoo/data_driven_modeling_2016
Codes and presentations for Data Driven Modeling course at ETH Zurich, chair for Computer Aided Architectural Design (CAAD)
sevamoo/Force_Density_Method
An implementation of Force Density Method (FDM) in Python
sevamoo/data_driven_modeling_2017
Codes and presentations for Data Driven Modeling course at ETH Zurich, chair for Computer Aided Architectural Design (CAAD) 2017
sevamoo/cityastext
An interactive map showing the center of cities, towns and villages
sevamoo/Structural_Form_Machine_Learning
sevamoo/3d
sevamoo/3DGS_PSL_UPENN
sevamoo/AeroPython
Classical Aerodynamics of potential flow using Python and Jupyter Notebooks
sevamoo/SEU_2019
Urban and Architectural Modeling with Machine Learning and Big Data
sevamoo/urban-modeling-at-scale
sevamoo/auto_viz
Test
sevamoo/big_data_benchmarks
big data technologies comparisons for cleaning, manipulating and generally wrangling data in purpose of analysis and machine learning.
sevamoo/click_that_hood
A game where users must identify a city's neighborhoods as fast as possible
sevamoo/colouring-london
Collecting data on London's buildings
sevamoo/Deep-Learning-in-Asset-Pricing
https://arxiv.org/abs/1805.01104
sevamoo/deeplearning-models
A collection of various deep learning architectures, models, and tips
sevamoo/EngComp
A sophomore course in engineering computation
sevamoo/fenics-tutorial
Source files and published documents for the FEniCS tutorial.
sevamoo/hamiltonian-nn
Code for our paper "Hamiltonian Neural Networks"
sevamoo/kep
sevamoo/mslearn-dp100
Lab files for Azure Machine Learning exercises
sevamoo/nbdev_test
sevamoo/nerf
Code release for NeRF (Neural Radiance Fields)
sevamoo/playable_city
Webplatform for crowd sourcing information about vacant lots in London
sevamoo/reference_project
sevamoo/spark-movie-lens
An on-line movie recommender using Spark, Python Flask, and the MovieLens dataset
sevamoo/stockpredictionai
In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results. For that purpose we will use a Generative Adversarial Network (GAN) with LSTM, a type of Recurrent Neural Network, as generator, and a Convolutional Neural Network, CNN, as a discriminator. We use LSTM for the obvious reason that we are trying to predict time series data. Why we use GAN and specifically CNN as a discriminator? That is a good question: there are special sections on that later.
sevamoo/swipelabel
Simple phone web app to label images with swipe gestures.