Matt2371

Pinned Repositories

PINN_navier_stokes
Implementing physics informed neural networks (PINN) in PyTorch to solve turbulent flows using the Navier-Stokes equations
Language:Jupyter Notebook161
yelper-helper
Neural classification of yelp reviews
Language:Jupyter Notebook00
Proposition99
Demonstration of the synthetic control method using data from California's Proposition 99 (tobacco control)
Language:Jupyter Notebook10
Toronto-Crimes
Predicting major crime types in Toronto using data from the Toronto Police Service
Language:Jupyter Notebook20
CDEC-Scraper
Scrapes CDEC website for data given station ID. Also can find all stations with a given type of sensor (flow, storage, temp, ect...).
Language:Python00
climate_detection
Uses statistical testing, numerical variance decomposition, and logistic regression to study when projected water resources objectives change significantly compared to the historical data
Language:Jupyter Notebook00
Flood_MAR_project
Choose a Flood-MAR strategy based on groundwater simulation results
Language:Python00
malware_detection
Detecting Android malware using machine learning
Language:Jupyter Notebook00
ML_notes
Notes for supervised and unsupervised machine learning algorithms
Language:Jupyter Notebook00
neuron-spikes
Analyzing spike train data in mice from Steinmetz et al. (2019)
Language:HTML00

Matt2371's Repositories

Matt2371/ML_notes
Notes for supervised and unsupervised machine learning algorithms
Language:Jupyter Notebook
Matt2371/climate_detection
Uses statistical testing, numerical variance decomposition, and logistic regression to study when projected water resources objectives change significantly compared to the historical data
Language:Jupyter Notebook
Matt2371/PINN_navier_stokes
Implementing physics informed neural networks (PINN) in PyTorch to solve turbulent flows using the Navier-Stokes equations
Language:Jupyter Notebook161
Matt2371/yelper-helper
Neural classification of yelp reviews
Language:Jupyter Notebook
Matt2371/malware_detection
Detecting Android malware using machine learning
Language:Jupyter Notebook
Matt2371/Toronto-Crimes
Predicting major crime types in Toronto using data from the Toronto Police Service
Language:Jupyter Notebook2
Matt2371/Proposition99
Demonstration of the synthetic control method using data from California's Proposition 99 (tobacco control)
Language:Jupyter Notebook1
Matt2371/neuron-spikes
Analyzing spike train data in mice from Steinmetz et al. (2019)
Language:HTML
Matt2371/SF-parking-citations
Data analysis of parking citations issued in San Francisco
Language:Jupyter Notebook
Matt2371/Flood_MAR_project
Choose a Flood-MAR strategy based on groundwater simulation results
Language:Python
Matt2371/CDEC-Scraper
Scrapes CDEC website for data given station ID. Also can find all stations with a given type of sensor (flow, storage, temp, ect...).
Language:Python
Matt2371/Stanford-CS224n-NLP
The course notes about Stanford CS224n Natural Language Processing with Deep Learning Winter 2019 (using PyTorch)