m-nolan Goto Github PK

aopy

package of code for reading and preprocessing aoLab .dat files in python

aopy_dev

aoLab python code repo - development version

asdk-net

Network signal estimation code for analyzing AllenSDK data

beer_distributor_dataset

CSV table and generating script for north american beer distributor dataset found at https://www.findmeabrewery.com/distributors/

computation-thru-dynamics

Understanding computation in artificial and biological recurrent networks through the lens of dynamical systems.

doughboys-data

ecog_is2s

ee447

python repository for EE447 (University of Washington)

einet

Uncertainty and causal emergence in complex networks

fastml-ecog-lfads

fda_orange

ORM implementation for the FDA "Orange Book" of drug patents

gamestonkterminal

The next best thing after Bloomberg Terminal

hierarchical_lfads

Pytorch implementation of lfads, and hierarchical extension

human-motion-prediction

Simple baselines and RNNs for predicting human motion in tensorflow. Presented at CVPR 17.

interpretseq2seq

Clustering and Recognition of Spatiotemporal Features through Interpretable Embedding of Sequence to Sequence Recurrent Neural Networks

koopmanae

Consistent Koopman Autoencoders

live-nicar-pipeline-2024

it's the best

m-nolan.github.io

Blog

mrae

Multiblock RNN Autoencoder

neuromatchteachingdemo

nicar2024-weather

Automated weather.gov data scraper - NICAR 2024 session

nicar_ocr

A tutorial on optical character recognition using tesseract, ImageMagick and other open source tools

nifc-prescribed-burns

Tabular data detailing prescribed burns in the US by a number of environmental agencies.

nsf-grant-award-scraper

National Science Foundation Award Dataset Scraper

pennsylvania_vote_data

phmsa-hazmat-incident-reports

Data from decades of PHMSA's "5800.1" Hazardous Materials Incident Reports

practicalintroductionnn

Repository for the graduate course "Practical Introduction to Neural Networks" at the University of Washington

ptl-lfads

Modified LFADS for neural field potentials. Built from WandB and Pytorch-Lightning

py4sid

subspace identification for linear systems

pypsid