mschachter Goto Github PK

bioinformatics

birdy

Zebra Finch Vocalizations

captk

Cancer Imaging Phenomics Toolkit (CaPTk) is a software platform to perform image analysis and predictive modeling tasks. Documentation: https://cbica.github.io/CaPTk/

complex_nets_js

Fun with Complex Recurrent Networks and D3

cosyne2014_poster

My poster for COSYNE 2014.

dataliteracyhub

Code used to power dataliteracyhub.com

edge

Error Dynamic Gating (Encoder?)

epsilon_machines

Epsilon machine implementation ala Jim Crutchfield's lab

ezcluster

Easily create an EC2 cluster to run jobs on

fun_with_gdelt

genomics_class

greedy

Very fast greedy diffeomorphic registration code

ijmorphdig

Manually compartmentalize 3D image stacks of neurons with this ImageJ plugin

incrowd

Implementation of the InCrowd basis-pursuit denoising algorithm

kahypar

KaHyPar (Karlsruhe Hypergraph Partitioning) is a multilevel hypergraph partitioning framework providing direct k-way and recursive bisection based partitioning algorithms that compute solutions of very high quality.

laser_shuffle

lasp

Learning and Signal Processing Toolkit!

math_notebooks

jupyter notebooks for math stuff

metaworld

An open source robotics benchmark for meta- and multi-task reinforcement learning

ml-biophysics-2014

Code for the Intro to Machine Learning Biophysics Module

nads

Networks And Dynamical Systems

notebooks

My IPython Notebooks

phase-coupling-estimation

Implementation of Phase Coupling Estimation in Python and Matlab (see http://arxiv.org/abs/0906.3844 )

prorn

PRObablistic Recurrent Networks

python-neo

Neo is a package for representing electrophysiology data in Python, together with support for reading a wide range of neurophysiology file formats

python_and_ml_classes

Wikispaces Markup for Python and Machine Learning Classes

rfui

slurm_tools

Some python functions for interacting with slurm via their command line tools.

solo-learn

solo-learn: a library of self-supervised methods for visual representation learning powered by Pytorch Lightning

soundfun

um. fun with sound?