Pinned Repositories
birdy
Zebra Finch Vocalizations
epsilon_machines
Epsilon machine implementation ala Jim Crutchfield's lab
ezcluster
Easily create an EC2 cluster to run jobs on
laser_shuffle
LaSP
Learning and Signal Processing Toolkit!
ml-biophysics-2014
Code for the Intro to Machine Learning Biophysics Module
nads
Networks And Dynamical Systems
prorn
PRObablistic Recurrent Networks
slurm_tools
Some python functions for interacting with slurm via their command line tools.
voices
Breeding better oscillators with RNNs
mschachter's Repositories
mschachter/birdy
Zebra Finch Vocalizations
mschachter/ml-biophysics-2014
Code for the Intro to Machine Learning Biophysics Module
mschachter/epsilon_machines
Epsilon machine implementation ala Jim Crutchfield's lab
mschachter/ezcluster
Easily create an EC2 cluster to run jobs on
mschachter/laser_shuffle
mschachter/LaSP
Learning and Signal Processing Toolkit!
mschachter/nads
Networks And Dynamical Systems
mschachter/slurm_tools
Some python functions for interacting with slurm via their command line tools.
mschachter/voices
Breeding better oscillators with RNNs
mschachter/edge
Error Dynamic Gating (Encoder?)
mschachter/bioinformatics
mschachter/CaPTk
Cancer Imaging Phenomics Toolkit (CaPTk) is a software platform to perform image analysis and predictive modeling tasks. Documentation: https://cbica.github.io/CaPTk/
mschachter/complex_nets_js
Fun with Complex Recurrent Networks and D3
mschachter/cosyne2014_poster
My poster for COSYNE 2014.
mschachter/dataliteracyhub
Code used to power dataliteracyhub.com
mschachter/fun_with_gdelt
mschachter/genomics_class
mschachter/greedy
Very fast greedy diffeomorphic registration code
mschachter/IJMorphDig
Manually compartmentalize 3D image stacks of neurons with this ImageJ plugin
mschachter/incrowd
Implementation of the InCrowd basis-pursuit denoising algorithm
mschachter/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.
mschachter/math_notebooks
jupyter notebooks for math stuff
mschachter/metaworld
An open source robotics benchmark for meta- and multi-task reinforcement learning
mschachter/phase-coupling-estimation
Implementation of Phase Coupling Estimation in Python and Matlab (see http://arxiv.org/abs/0906.3844 )
mschachter/python-neo
Neo is a package for representing electrophysiology data in Python, together with support for reading a wide range of neurophysiology file formats
mschachter/python_and_ml_classes
Wikispaces Markup for Python and Machine Learning Classes
mschachter/rfui
mschachter/solo-learn
solo-learn: a library of self-supervised methods for visual representation learning powered by Pytorch Lightning
mschachter/thunder
Large-scale neural data analysis with Spark
mschachter/writings