Name: Cole Hurwitz
Type: User
Company: University of Edinburgh
Bio: Postdoctoral researcher at Zuckerman Institute. PhD from University of Edinburgh. Building models for neural data analysis.
Location: Edinburgh, Scotland
Blog: https://colehurwitz.github.io/
Cole Hurwitz's Projects
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
Implementation and examples for the NeurIPS 2019 manuscript: Scalable Spike Source Localization in Extracellular Recordings using Amortized Variational Inference
Basic script and functions for evaluating a detection algorithm on MEArec ground truth recording files
DSVAE experiments
Modules for processing extracellular electrophysiology data from Neuropixels probes
A tool for creating biophysically realistic extracellular recording sites given a specific probe geometry and brain region
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
IBL foundation model
LLMs for speech decoding
3D visualization of scientific data in Python
MountainSort v4
Poster for "Scalable Spike Source Localization in Extracellular Recordings using Amortized Variational Inference"
WIP: Python port of Kilosort2
Fast data visualization and GUI tools for scientific / engineering applications
The lightweight PyTorch wrapper for ML researchers. Scale your models. Write less boilerplate
PyTorch3D is FAIR's library of reusable components for deep learning with 3D data
A Python-based module for creating flexible and robust spike sorting pipelines.
A collection of tools for assessing the performance of pose estimation algorithms