Wisam Reid's starred repositories
Category_Theory_Machine_Learning
List of papers studying machine learning through the lens of category theory
semanticscholar
Unofficial Python client library for Semantic Scholar APIs.
Clustering-in-Python
Clustering methods in Machine Learning includes both theory and python code of each algorithm. Algorithms include K Mean, K Mode, Hierarchical, DB Scan and Gaussian Mixture Model GMM. Interview questions on clustering are also added in the end.
imagej-ops
ImageJ Ops: "Write once, run anywhere" image processing
microscope
Python library for control of microscope devices, supporting hardware triggers and distribution of devices over the network for performance and flexibility.
brainsmash
Brain Surrogate Maps with Autocorrelated Spatial Heterogeneity
ops-experiments
EXPERIMENTAL repository for exploring Ops approaches, algorithms, etc.
rnn-tutorial
Materials for RNN tutorial @ Harvard-MIT Theoretical and Computational Neuroscience Journal Club
kmeans_ensemble
Python k-means ensemble package & tutorials
bruker_control
Repository for code running the lab's multi-photon imaging experiments at the Bruker Ultima Investigator scope. Unites Arduino, Prairie View, and GenTL machine cameras in Python.
BroussardEtAl2018
In vivo measurement of afferent activity with axon-specific calcium imaging
linear-nonlinear-dendrites
Capturing dendritic processing with linear-nonlinear models
Prairie_Reader
ImageJ/Fiji plugin used to open Prairie View datasets
interneuron-reward
Calcium activity in M1 during classical conditioning
bruker_pipeline
Python implementation of data processing pipeline for data from the Bruker Ultima microscope in conjunction with bruker_control.
Python-Quantum-Chemistry-of-Organic-Molecules
Final project for the FAU PHY 6938-Data Science Applications to Physics course
Python_Modeling-Gamma-Oscillations-in-the-Striatum
Team project for NMA 2020 Computational Neuroscience course