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2022_digital-twin_5g

2022_sensingthecity

anomaly_detection

This is a times series anomaly detection algorithm, implemented in Python, for catching multiple anomalies. It uses a moving average with an extreme student deviate (ESD) test to detect anomalous points.

blog_code

data-science-for-architecture

Repository for data science study for architecture, engineering and construction (AEC)

datacamp-python-data-science-track

All the slides, accompanying code and exercises all stored in this repo. 🎈

daylightgan

Real-time daylight prediction using Rhinoceros3D, Grasshopper, Ladybug Tools and pyTorch

digitalfutures-immersive-environmental-information-visualization

Immersive Environmental Information Visualization, Unity Workshop

donald-pinckney.github.io

dressgan

Dress styles generation using GANs using TensorFlow

getting-things-done-with-pytorch

Jupyter Notebook tutorials on solving real-world problems with Machine Learning & Deep Learning using PyTorch. Topics: Face detection with Detectron 2, Time Series anomaly detection with LSTM Autoencoders, Object Detection with YOLO v5, Build your first Neural Network, Time Series forecasting for Coronavirus daily cases, Sentiment Analysis with BERT.

habitat-matterport-3dresearch

housegan

House-GAN: Relational Generative Adversarial Networks for Graph-constrained House Layout Generation

hyperparameter-optimization

Implementation of Bayesian Hyperparameter Optimization of Machine Learning Algorithms

hyperparameter-optimization-of-machine-learning-algorithms

Implementation of hyperparameter optimization/tuning methods for machine learning & deep learning models (easy&clear)

instascrape

Powerful and flexible Instagram scraping library for Python, providing easy-to-use and expressive tools for accessing data programmatically

iotdemos

Demos created by the IoT Engineering team that showcase IoT services in an end-to-end solution

lstm

machine-learning-with-python

Practice and tutorial-style notebooks covering wide variety of machine learning techniques

multitasklearning_multiobjectiveoptimization

Source code for Neural Information Processing Systems (NeurIPS) 2018 paper "Multi-Task Learning as Multi-Objective Optimization"

nycbuildingenergyuse

Creating Regression Models Of Building Emissions On Google Cloud

parametric-geometry-app

postman-to-python____example-scripts

prettymaps

A small set of Python functions to draw pretty maps from OpenStreetMap data. Based on osmnx, matplotlib and shapely libraries.

pymoo

NSGA2, NSGA3, R-NSGA3, MOEAD, Genetic Algorithms (GA), Differential Evolution (DE), CMAES, PSO

pythondatasciencehandbook

Python Data Science Handbook: full text in Jupyter Notebooks

pytorch-cyclegan-and-pix2pix

Image-to-Image Translation in PyTorch

r_script_appliedstat

t-test, visualization, ANOVA, chi squre test, others

salib

Sensitivity Analysis Library in Python. Contains Sobol, Morris, FAST, and other methods.

solar-panel-potential-energy