Pinned Repositories
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.
pseudocerebellum
Information about the cerebellum as an associative memory
RCTN-neuro-bootcamp
Repo for the RCTN section of the HWNI Neuroscience Boot Camp
sparsecoding
Reference sparse coding implementations for efficient learning and inference.
Redwood Center for Theoretical Neuroscience's Repositories
rctn/sparsecoding
Reference sparse coding implementations for efficient learning and inference.
rctn/DeepBoltzmannRN
Deep Boltzmann Machines in R^N dimensions
rctn/gpupy
Wrapper for cuBlas\NumbaPro functions that provides drop in support for NumPy functions on GPU
rctn/ComputationalWorkshops
Computational Workshops held at Redwood in Spring 2017
rctn/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.
rctn/HMC_reducedflip
Hamiltonian Markov Chain sampling with reduced flipping alternatives.
rctn/pseudocerebellum
Information about the cerebellum as an associative memory
rctn/RCTN-neuro-bootcamp
Repo for the RCTN section of the HWNI Neuroscience Boot Camp
rctn/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".
rctn/cortex-cluster-examples
Collection of test scripts to use the Redwood Cluster
rctn/DNN_Tutorial
A quick tutorial on deep networks using Keras.
rctn/infer-moto3D
Internal model of 3D that includes tactile/haptic, motor and sensory systems.
rctn/Mime-Networks
Implements SFO, and reproduces figures from paper.
rctn/PMPF
Persitent Minimum Probability Flow learning on natural images using the Gaussian Bernoulli Restricted Boltzmann Machine.
rctn/scene-sparse
Exploring scene specific sparse coded dictionaries
rctn/sesemo
Simultaneous Estimation of Sensory and Motor Representations (SESEMO)
rctn/shape-basis-3d
3D Shape basis.