flennerhag / alstm
Adaptive LSTM from Breaking the Activation Function Bottleneck Through Adaptive Parameterization (https://arxiv.org/abs/1805.08574)
☆25Updated 5 years ago
Alternatives and similar repositories for alstm
Users that are interested in alstm are comparing it to the libraries listed below
Sorting:
- ZForcing Repo☆40Updated 7 years ago
- ☆40Updated 6 years ago
- The code for the ACL 2017 paper "Scalable Bayesian Learning of Recurrent Neural Networks for Language Modeling"☆29Updated 8 years ago
- State space modeling with recurrent neural networks☆45Updated 7 years ago
- Tensorized LSTM with Adaptive Shared Memory for Learning Trends in Multivariate Time Series (AAAI'20)☆47Updated 3 years ago
- A PyTorch implement of Dilated RNN☆11Updated 7 years ago
- This is a PyTorch implementation of the ICLR 2017 paper "HIERARCHICAL MULTISCALE RECURRENT NEURAL NETWORKS" (https://openreview.net/pdf?i…☆51Updated 7 years ago
- Data as Demonstrator (DaD) is a meta learning algorithm to improve the multi-step predictive capabilities of a learned time series (e.g. …☆33Updated 8 years ago
- Gated Orthogonal Recurrent Unit implementation in tensorflow☆34Updated 6 years ago
- NLSTM Nested LSTM in Pytorch☆18Updated 7 years ago
- Professor Forcing, NIPS'16☆45Updated 8 years ago
- Code for our paper "Sparse Attentive Backtracking: Sparse Attentive Backtracking: Temporal Credit Assignment Through Reminding" https://p…☆39Updated 6 years ago
- Lattice Recurrent Unit: Improving Convergence and Statistical Efficiency for Sequence Modeling☆36Updated 7 years ago
- Variational Attention for Sequence to Sequence Models☆20Updated 7 years ago
- TensorFlow and Numpy implementation of sparsemax☆15Updated 5 years ago
- Source code of the neural Hawkes particle smoothing (ICML 2019)☆43Updated 5 years ago
- Keras implementation of [The unreasonable effectiveness of the forget gate](https://arxiv.org/abs/1804.04849)☆35Updated 6 years ago
- Deep Reinforcement Active learning - Master Thesis☆19Updated 2 years ago
- Implementation of RNN for Time Series prediction from the paper https://arxiv.org/abs/1704.02971☆59Updated 2 years ago
- ☆62Updated 8 years ago
- State-Regularized Recurrent Neural Networks☆11Updated 5 years ago
- Reversible Recurrent Neural Network Pytorch Implementation☆21Updated 7 years ago
- PyTorch Implementation of Hierarchical Multiscale Recurrent Neural Networks☆15Updated 6 years ago
- Pytorch implementation of Recurrent Neural Processes https://arxiv.org/pdf/1906.05915.pdf☆22Updated 5 years ago
- Python implementation of a time-series model with (optional) attention where the encoder is CNN, decoder is LSTM, and more.☆22Updated 8 years ago
- Neaural Decomposition (ND)☆20Updated 7 years ago
- Experiments with binary LSTM using gumbel-sigmoid☆30Updated 4 years ago
- Keras implementation of MinimalRNN: Toward More Interpretable and Trainable Recurrent Neural Networks☆17Updated 7 years ago
- A pytorch implementation of the paper: "Skip RNN: Learning to Skip State Updates in Recurrent Neural Networks"☆81Updated 6 years ago
- ☆80Updated 7 years ago