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Name: Redwood Center for Theoretical Neuroscience
Type: Organization
Location: University of California, Berkeley
Blog: redwood.berkeley.edu
Redwood Center for Theoretical Neuroscience's Projects
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".
computationalworkshops
Computational Workshops held at Redwood in Spring 2017
cortex-cluster-examples
Collection of test scripts to use the Redwood Cluster
deepboltzmannrn
Deep Boltzmann Machines in R^N dimensions
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.
dnn_tutorial
A quick tutorial on deep networks using Keras.
gpupy
Wrapper for cuBlas\NumbaPro functions that provides drop in support for NumPy functions on GPU
hmc_reducedflip
Hamiltonian Markov Chain sampling with reduced flipping alternatives.
infer-moto3d
Internal model of 3D that includes tactile/haptic, motor and sensory systems.
mime-networks
Implements SFO, and reproduces figures from paper.
pmpf
Persitent Minimum Probability Flow learning on natural images using the Gaussian Bernoulli Restricted Boltzmann Machine.
pseudocerebellum
Information about the cerebellum as an associative memory
rctn-neuro-bootcamp
Repo for the RCTN section of the HWNI Neuroscience Boot Camp
scene-sparse
Exploring scene specific sparse coded dictionaries
sesemo
Simultaneous Estimation of Sensory and Motor Representations (SESEMO)
shape-basis-3d
3D Shape basis.
sparsecoding
Reference sparse coding implementations for efficient learning and inference.
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