keisuke-nakata / rwa
[Recurrent Weighted Average](https://arxiv.org/abs/1703.01253) [Jared Ostmeyer et.al, 2017] heavily based on https://gist.github.com/shamatar/55b804cf62b8ee0fa23efdb3ea5a4701
☆10Updated 7 years ago
Alternatives and similar repositories for rwa:
Users that are interested in rwa are comparing it to the libraries listed below
- RWA in pytorch☆14Updated 7 years ago
- an implementation of reinforcement learning problem, stock prices☆10Updated 8 years ago
- Recurrent Discounted Attention unit (RDA) for Tensorflow☆22Updated 7 years ago
- Variational Recurrent Auto Encoder☆15Updated 8 years ago
- simple example of gradient-based hyperparameter optimization using tensorflow☆19Updated 9 years ago
- Implementation of Undecimated Fully Convolutional Neural Network for time series modeling☆39Updated 8 years ago
- Asynchronous Advantage Actor Critic☆20Updated 8 years ago
- RWA recurrent neural networks☆17Updated 7 years ago
- Neuroevolution as a direct policy search deep reinforcement learning method, implemented using Keras and DEAP.☆70Updated 4 years ago
- Optimized Differentiable Neural Computer In Chainer☆23Updated 6 years ago
- Generative Sparse Distributed Representations, a fast generative model written in Python (Original C++ implementation https://github.com/…☆24Updated 8 years ago
- Deep Reinforcement Learning with Fined Grained Action Repetition☆23Updated 7 years ago
- Implementation of the Incremental Sequence Learning algorithms described in the Incremental Sequence Learning article☆40Updated 7 years ago
- Low-rank Highway Networks☆13Updated 9 years ago
- ☆25Updated 8 years ago
- Implementation of the paper https://arxiv.org/pdf/1507.01526v3.pdf (Tensorflow 1.0, Python 3)☆28Updated 7 years ago
- Replication of Uber Neuroevolution paper☆46Updated 6 years ago
- Deep Learning DTU summer school 2015☆22Updated 8 years ago
- Differentiable neural computers☆27Updated 8 years ago
- Deep Generative Stochastic Networks for Sequence Prediction☆8Updated 2 years ago
- Convenient hyperparameter optimization☆14Updated 11 months ago
- Keras implementation of the Information Dropout (arXiv:1611.01353) paper☆15Updated 8 years ago
- Tensorflow Implementation of Multi-Function Recurrent Unit☆23Updated 8 years ago
- Visualize dress embeddings☆17Updated 8 years ago
- This is the code used in the paper "Diagonal RNNs in Symbolic Music Modeling"☆17Updated 7 years ago
- Tensorflow Recurrent Neural Network (RNN) model to analyse Time Series in GDELT News dataset to predict future events.☆30Updated 7 years ago
- Read datasets in a standard way☆20Updated 8 years ago
- Feeding images of time series to Conv Nets! (Tensorflow + Keras)☆49Updated 7 years ago
- This is an implimentation of Value Iteration Networks (NIPS2016 best paper) in keras☆17Updated 7 years ago
- Professor Forcing, NIPS'16☆46Updated 7 years ago