nmasse

Short-term-plasticity-RNN

Short-term plasticity RNN models in Tensorflow

Context-Dependent-Gating

Algorithm to alleviate catastrophic forgetting in neural networks by gating hidden units

RL-RNN

Reinforcement Learning through a Recurrent Neural Network

RL-Hopfield

Reinforcement learning with Hopfield associative network

FruCloneClustering

Meta-Networks

Building a framework to generate neural networks to test neural network structure

orthogonal-RNN

RNN with orthogonal weight matrix

rnn_sandbox

Feed-forward-network

Feed-forward neural network for analysis project

Recurrent-auto-encoder

RNN based auto-encoder

Ball-Strike-Analysis

Working on analyzing monkey data for the ball/strikes task

Chunking

Continual-Learning

Combining weight stabilization from Zenke et al Intelligent Synapses along with gated dendrites

meta-learning

Model-Neural-Data

RNN to model neural spike rates

olfaction-prediction

Collaborative Phase of DREAM Olfaction Prediction Challenge

Predictive-RNN

Predictive-RNN-Navigation

Predictive RNNs, but now with room searching

Reinforcement-Learning

Reinforcement learning testing in Tensorflow with OpenAI Gym

Storm-Microscopy-Analysis

xyz2mol

Converts and xyz file to an RDKit mol object