abuzarmahmood

blech_clust

neuRecommend

Classifier for semi-automated spike-sorting and channel recommendation

KatzGPT

LLM for Katz Lab related research

pymcon_bayesian_changepoint

pytau

Library to streamline batch-fitting of Bayesian changepoint models to neural population spiking data

teachables

abuzarmahmood.github.io

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

bambi

BAyesian Model-Building Interface (Bambi) in Python.

blech_pi_codes

Archive of codes for blech_pi

istyar

Dashboard for visualization of publication timeline

blechRNN

Estimating neural firing rates using LSTM

data_for_google_colab

dlaicourse

Notebooks for learning deep learning

drive_backup_scripts

Scripts used for archving/backing-up Katz lab data from files.brandeis.edu

ephys_data

Class to streamline extraction and basic processing of data

firing_space_plot

Katz lab - Creating plots for GC populations in firing rate space

gpu_cloud_train

idea_table

kickstart.nvim

A launch point for your personal nvim configuration

machine_learning_examples

A collection of machine learning examples and tutorials.

Mahmood_Dissertation_Brandeis

NeuronCluster

Python GUI to manually cluster spike waveforms

ocr_database

Planet_Sakaar_Data_Science

A colourful collection of codes and notebooks, like Planet Sakaar

pymc3-hmm

Hidden Markov models in PyMC3

sbi

Simulation-based inference toolkit

Statistical-Rethinking-with-Python-and-PyMC3

Python/PyMC3 port of the examples in " Statistical Rethinking A Bayesian Course with Examples in R and Stan" by Richard McElreath

tempstick_forecast

tensorflow-1-public

video_tracking