Redwood Center for Theoretical Neuroscience (rctn)

Redwood Center for Theoretical Neuroscience

rctn

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Location:University of California, Berkeley

Home Page:redwood.berkeley.edu

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Redwood Center for Theoretical Neuroscience's repositories

sparsecoding

Reference sparse coding implementations for efficient learning and inference.

Language:Jupyter NotebookLicense:BSD-3-ClauseStargazers:16Issues:9Issues:15

DeepBoltzmannRN

Deep Boltzmann Machines in R^N dimensions

gpupy

Wrapper for cuBlas\NumbaPro functions that provides drop in support for NumPy functions on GPU

Language:PythonLicense:MITStargazers:4Issues:5Issues:21

ComputationalWorkshops

Computational Workshops held at Redwood in Spring 2017

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DeepLearningReadingGroup

Repository based on the UC Berkeley Deep Learning Reading Group. A place to implement code pertaining to the book "Deep Learning" by Goodfellow et. al. and personal projects related to the topics discussed.

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HMC_reducedflip

Hamiltonian Markov Chain sampling with reduced flipping alternatives.

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pseudocerebellum

Information about the cerebellum as an associative memory

RCTN-neuro-bootcamp

Repo for the RCTN section of the HWNI Neuroscience Boot Camp

Language:PythonStargazers:2Issues:0Issues:0

CapacityOptimization

This is a public repository for code related to the IEDM 2014 conference paper: Engel et al., "Capacity Optimization of Emerging Memory Systems: A Shannon-Inspired Approach to Device Characterization".

Language:PythonStargazers:1Issues:35Issues:0

cortex-cluster-examples

Collection of test scripts to use the Redwood Cluster

Language:PythonStargazers:1Issues:33Issues:0

DNN_Tutorial

A quick tutorial on deep networks using Keras.

Language:Jupyter NotebookLicense:MITStargazers:1Issues:6Issues:0

infer-moto3D

Internal model of 3D that includes tactile/haptic, motor and sensory systems.

Language:Jupyter NotebookLicense:GPL-3.0Stargazers:1Issues:3Issues:0

Mime-Networks

Implements SFO, and reproduces figures from paper.

Language:PythonStargazers:1Issues:34Issues:0

PMPF

Persitent Minimum Probability Flow learning on natural images using the Gaussian Bernoulli Restricted Boltzmann Machine.

Language:MATLABStargazers:1Issues:21Issues:0

scene-sparse

Exploring scene specific sparse coded dictionaries

Language:PythonStargazers:1Issues:24Issues:0

sesemo

Simultaneous Estimation of Sensory and Motor Representations (SESEMO)

Language:TeXLicense:GPL-3.0Stargazers:1Issues:21Issues:2

shape-basis-3d

3D Shape basis.

Language:PythonStargazers:0Issues:7Issues:0