kenburke Goto Github PK

activesiteclustering

Compare partition and hierarchical clustering methods for analysis of enzyme active sites, with continuous integration testing.

deep-learning-traffic-lights

Code and files of the deep learning model used to win the Nexar Traffic Light Recognition challenge

event_detection

Event detection through deconvolution in Igor Pro. Accompanied by GUI for hyperparameter tuning, manual intervention and visualization.

generative_agents

Generative Agents: Interactive Simulacra of Human Behavior

google-interview-university

A complete computer science study plan to become a software engineer.

hellasort

Neuronal spike sorting GUI written in MATLAB

ising-model

Fit an Ising model with neural spike train data using Minimum Probability Flow Learning. Based on code from Jascha Sohl-Dickstein.

linescan_experiments

Analysis and visualization of two-photon linescan experiments performed in Prairie View

matlab-igor-import

Export data from Igor Pro to MATLAB

odsc_neural_nets_11-04-17

Talk "Deep Learning From Scratch Using Python" to be delivered at ODSC West on November 4, 2017

pyibt

python-progressbar

Text progress bar library for Python

sfn_talk_2018

Presentation for Nanosymposium at the Society for Neuroscience conference, 2018

sortingalgorithms

Examine complexity of sorting algorithms in python with continuous integration testing

synapsemodel

Simplified model of neuronal synapse using Monte Carlo simulation of calcium channel activity.

ucsf-data_driven_neuro

A repository to store course materials for the data-driven neuroscience in python short-course.