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Turaga Lab's Projects

decode icon decode

This is the official implementation of our publication "Deep learning enables fast and dense single-molecule localization with high accuracy" (Nature Methods)

dvision icon dvision

Python client for the DVID database

flybody icon flybody

MuJoCo fruit fly body model and reinforcement learning tasks

flyvis icon flyvis

A connectome constrained deep mechanistic network (DMN) model of the fruit fly visual system

fouriernet icon fouriernet

Implementation of Fourier convolution and FourierNet/FourierUNet in JAX and PyTorch

ipp-tools icon ipp-tools

Collection of IPyParallel tools and helper scripts

malis icon malis

MALIS structured loss function for supervised learning of segmentation and clustering

nyroglancer icon nyroglancer

jupyter notebook extension to visualize numpy arrays with the neuroglancer

slurm_cluster icon slurm_cluster

Configuration files, scripts, and howtos for using the slurm cluster.

stcnn icon stcnn

spatiotemporal convnet for modeling visual neuron responses

vae icon vae

Model-agnostic variational autoencoder tools

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