wcarvalho / jupyter_notebooksLinks
Jupyter notebooks for testing concepts
☆11Updated 7 years ago
Alternatives and similar repositories for jupyter_notebooks
Users that are interested in jupyter_notebooks are comparing it to the libraries listed below
Sorting:
- Code for experiments with our RNN regularizer, which stochastically forces units to maintain previous values.☆78Updated 7 years ago
- Batch normalized LSTM for tensorflow☆179Updated 8 years ago
- Skip RNN: Learning to Skip State Updates in Recurrent Neural Networks (ICLR 2018)☆121Updated 2 years ago
- Cleaned original source code from my NIPS publication☆156Updated 7 years ago
- Tensorflow implementation of Recursive Neural Networks using LSTM units☆136Updated 9 years ago
- Code and models from the paper "Layer Normalization"☆245Updated 8 years ago
- The experiment result of LSTM language models on PTB (Penn Treebank) and GBW (Google Billion Word) using AdaptiveSoftmax on TensorFlow.☆100Updated 6 years ago
- ByteNet for character-level language modelling☆319Updated 7 years ago
- Dynamic evaluation for pytorch language models, now includes hyperparameter tuning☆104Updated 7 years ago
- ☆165Updated 8 years ago
- TensorFlow implementation of normalizations such as Layer Normalization, HyperNetworks.☆111Updated 8 years ago
- Siamese neural networks for representation learning using Theano.☆21Updated 9 years ago
- Code for the Eager Translation Model from the paper You May Not Need Attention☆295Updated 6 years ago
- Tensorflow implementation for DilatedRNN☆350Updated 7 years ago
- A tensorflow implementation of "Generating Sentences from a Continuous Space"☆227Updated 2 years ago
- Implements an efficient softmax approximation as described in the paper "Efficient softmax approximation for GPUs" (http://arxiv.org/abs/…☆396Updated 6 years ago
- attention model for entailment on SNLI corpus implemented in Tensorflow and Keras☆177Updated 8 years ago
- Character-Aware Neural Language Models. A keras-based implementation☆118Updated 3 years ago
- ☆167Updated 8 years ago
- Recurrent Variational Autoencoder with Dilated Convolutions that generates sequential data implemented in pytorch☆71Updated 4 years ago
- Sequence-to-Sequence learning using PyTorch☆520Updated 5 years ago
- ☆143Updated 8 years ago
- Fast parallel CTC.☆31Updated 6 years ago
- ☆64Updated 8 years ago
- Tensorflow Implementation of the paper [Neural Discrete Representation Learning](https://arxiv.org/abs/1711.00937) (VQ-VAE).☆262Updated 7 years ago
- DNI (Decoupled Neural Interfaces using Synthetic Gradients) Implementation with Tensorflow.☆28Updated 7 years ago
- Language Modeling☆156Updated 5 years ago
- Code for Structured Attention Networks https://arxiv.org/abs/1702.00887☆238Updated 8 years ago
- ☆395Updated 6 years ago
- nmtpy is a Python framework based on dl4mt-tutorial to experiment with Neural Machine Translation pipelines.☆125Updated 7 years ago