amujika / Fast-Slow-LSTM
☆92Updated 7 years ago
Alternatives and similar repositories for Fast-Slow-LSTM:
Users that are interested in Fast-Slow-LSTM are comparing it to the libraries listed below
- Code for Attentive Recurrent Comparators☆57Updated 8 years ago
- A pytorch implementation of "Self-Normalizing Neural Networks" by Klambauer et al. (still beta)☆59Updated 7 years ago
- Pytorch implementation of "Forward Thinking: Building and Training Neural Networks One Layer at a Time"☆65Updated 7 years ago
- ☆69Updated 6 years ago
- Weight initialization schemes for PyTorch nn.Modules☆70Updated 8 years ago
- PixelVAE with or without regularization☆66Updated 7 years ago
- Pytorch implementation of DeepMind's differentiable neural computer paper.☆93Updated 7 years ago
- Cleaned original source code from my NIPS publication☆155Updated 7 years ago
- Quick and Dirty TensorFlow command framework to train and evaluate models and make inference☆56Updated 6 years ago
- Working Theano implementation of Pixel RNN on MNIST.☆76Updated 8 years ago
- Batch-Normalized LSTM (Recurrent Batch Normalization) implementation in Torch.☆90Updated 8 years ago
- Code for experiments with our RNN regularizer, which stochastically forces units to maintain previous values.☆78Updated 7 years ago
- Efficient layer normalization GPU kernel for Tensorflow☆111Updated 8 years ago
- DNI (Decoupled Neural Interfaces using Synthetic Gradients) Implementation with Tensorflow.☆28Updated 7 years ago
- Torch implementation of Wasserstein GAN https://arxiv.org/abs/1701.07875☆47Updated 8 years ago
- Implementation of a simple example of Q learning in Torch.☆50Updated 8 years ago
- ☆64Updated 8 years ago
- A curated list of awesome hyperparameters for deep learning☆78Updated 7 years ago
- ☆137Updated 7 years ago
- ☆79Updated 7 years ago
- ☆31Updated 7 years ago
- Code Samples from Neural Networks for NLP☆72Updated 7 years ago
- Torch implementation reproducing MNIST experiments from DeepMind's DNI paper.☆43Updated 8 years ago
- Torch implementation of seq2seq machine translation with GRU RNN and attention☆77Updated 8 years ago
- ☆45Updated 7 years ago
- D-NTM paper repo☆25Updated 7 years ago
- A PyTorch implementation of Recurrent Additive Networks by Lee et al. (2017)☆29Updated 7 years ago
- Professor Forcing, NIPS'16☆45Updated 8 years ago
- Code for paper "L4: Practical loss-based stepsize adaptation for deep learning"☆125Updated 6 years ago
- ☆53Updated 8 years ago