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Sacred is a tool to help you configure, organize, log and reproduce experiments developed at IDSIA.

A community based Python library for quantitative economics

A TensorFlow implementation of the Differentiable Neural Computer.

TensorFlow-based neural network library

Code from the "Tensorflow and deep learning - without a PhD, Part 2" session on Recurrent Neural Networks.

Recurrent Neural Network library for Torch7's nn

Fast, flexible and fun neural networks.

A tensorflow implementation of an HMM layer

rllab is a framework for developing and evaluating reinforcement learning algorithms, fully compatible with OpenAI Gym.

LSTM built using Keras Python package to predict time series steps and sequences. Includes sin wave and stock market data

MDPs and POMDPs in Julia - An interface for working with discrete and continuous, fully and partially observable Markov decision processes.

Python API for Emma's Markov Model Algorithms

A Machine Learning project on applying Markov decision processes and Q-Learning on robot movement model.

A collection of Torch dataset loaders

IPython kernel for Torch with visualization and plotting

A deep learning library for streamlining research and development using the Torch7 distribution.

Attempt at implementing system described in "Neural Turing Machines." by Graves, Alex, Greg Wayne, and Ivo Danihelka. (http://arxiv.org/abs/1410.5401)

Examples of using GridLSTM (and GridRNN in general) in tensorflow See https://www.tensorflow.org/api_docs/python/tf/contrib/rnn/GridLSTMCell

Torch7 implementation of Grid LSTM as described here: http://arxiv.org/pdf/1507.01526v2.pdf

A reinforcement learning package implemented in Torch