deepsemantic / sr-rnns
State-Regularized Recurrent Neural Networks
☆11Updated 5 years ago
Alternatives and similar repositories for sr-rnns
Users that are interested in sr-rnns are comparing it to the libraries listed below
Sorting:
- A PyTorch implement of Dilated RNN☆11Updated 7 years ago
- ZForcing Repo☆40Updated 7 years ago
- SparseMax activation function implementation (ICML 2016) (PyTorch)☆27Updated 7 years ago
- PyTorch Implementation of Hierarchical Multiscale Recurrent Neural Networks☆15Updated 6 years ago
- Variational Autoencoders with Gaussian Mixture Latent Space☆36Updated 7 years ago
- Professor Forcing, NIPS'16☆45Updated 8 years ago
- An implementation of DIP-VAE from the paper "Variational Inference of Disentangled Latent Concepts from Unlabelled Observations" by Kumar…☆25Updated 7 years ago
- The code for the ACL 2017 paper "Scalable Bayesian Learning of Recurrent Neural Networks for Language Modeling"☆29Updated 8 years ago
- a replicate of https://arxiv.org/pdf/1711.00937.pdf☆16Updated 7 years ago
- Code for the publication Learning to Reason with Third-Order Tensor Products.☆40Updated 6 years ago
- Code release for the paper "Calibrating Energy-based Generative Adversarial Networks"☆24Updated 7 years ago
- RWA in pytorch☆14Updated 8 years ago
- Lattice Recurrent Unit: Improving Convergence and Statistical Efficiency for Sequence Modeling☆36Updated 7 years ago
- Open source implementation of SeaRNN (ICLR 2018, https://openreview.net/forum?id=HkUR_y-RZ)☆48Updated 6 years ago
- Code for "Boosted Generative Models", AAAI 2018.☆20Updated 7 years ago
- Echo Noise Channel for Exact Mutual Information Calculation☆17Updated 4 years ago
- ReGAN: Sequence GAN using RE[INFORCE|LAX|BAR] based PG estimators☆40Updated 7 years ago
- This contains my M.Tech project work on using Deep Leanring for learning graph representations. Data will be provided on request☆33Updated 8 years ago
- Reproduction work of "Neural Relational Inference for Interacting Systems" in Chainer☆33Updated 6 years ago
- Reversible Recurrent Neural Network Pytorch Implementation☆21Updated 7 years ago
- Fast-Slow Recurrent Neural Networks☆14Updated 7 years ago
- Variational Dropout Sparsifies Deep Neural Networks (Molchanov et al. 2017) by Chainer☆18Updated 7 years ago
- ☆26Updated 6 years ago
- Github page for the preprint paper "InfoCatVAE: Representation Learning with Categorical Variational Autoencoders"☆14Updated 4 years ago
- demonstration for our ACL 2018 paper, "On the Practical Computational Power of Finite Precision RNNs for Language Recognition"☆11Updated 5 years ago
- Code for our paper "Sparse Attentive Backtracking: Sparse Attentive Backtracking: Temporal Credit Assignment Through Reminding" https://p…☆39Updated 6 years ago
- Multiplicative Normalizing Flow (MNF) posteriors for variational Bayesian neural networks☆65Updated 4 years ago
- ☆40Updated 6 years ago
- TensorFlow implementation of the method from Variational Dropout Sparsifies Deep Neural Networks, Molchanov et al. (2017)☆16Updated 7 years ago
- ☆27Updated 5 years ago