imatge-upc / danifojo-2018-repeatrnn
Comparing Fixed and Adaptive Computation Time for Recurrent Neural Networks
☆35Updated 6 years ago
Alternatives and similar repositories for danifojo-2018-repeatrnn:
Users that are interested in danifojo-2018-repeatrnn are comparing it to the libraries listed below
- Open source implementation of SeaRNN (ICLR 2018, https://openreview.net/forum?id=HkUR_y-RZ)☆48Updated 6 years ago
- Code for "Systematic Generalization: What Is Required and Can It Be Learned"☆37Updated 5 years ago
- Professor Forcing, NIPS'16☆46Updated 7 years ago
- ☆63Updated 7 years ago
- Implementation of Grounded Language Learning in a 3D Simulated World (DeepMind)☆34Updated 7 years ago
- Learning with latent language☆50Updated 3 years ago
- Code for the publication Learning to Reason with Third-Order Tensor Products.☆39Updated 6 years ago
- ☆28Updated 3 years ago
- An implementation of a Variational-Autoencoder using the Gumbel-Softmax reparametrization trick in TensorFlow (tested on r1.5 CPU and GPU…☆72Updated 6 years ago
- Pytorch implementation of bytenet from "Neural Machine Translation in Linear Time" paper☆46Updated 7 years ago
- learning to search in pytorch☆110Updated 5 years ago
- The Variational Homoencoder: Learning to learn high capacity generative models from few examples☆34Updated last year
- Code release for the paper "Calibrating Energy-based Generative Adversarial Networks"☆23Updated 7 years ago
- ☆49Updated 6 years ago
- Translating neuralese☆44Updated 7 years ago
- ReGAN: Sequence GAN using RE[INFORCE|LAX|BAR] based PG estimators☆40Updated 6 years ago
- Recurrent Variational Autoencoder with Dilated Convolutions that generates sequential data implemented in pytorch☆71Updated 3 years ago
- Highway networks implemented in PyTorch.☆56Updated 7 years ago
- Experiments from "The Description Length of Deep Learning Models"☆10Updated 6 years ago
- boundary-seeking generative adversarial networks☆46Updated 7 years ago
- ☆56Updated 6 years ago
- SparseMAP: differentiable sparse structure inference☆111Updated 6 years ago
- ☆12Updated 7 years ago
- A PyTorch implementation of Recurrent Additive Networks by Lee et al. (2017)☆29Updated 7 years ago
- Implementation of Adversarial Variational Optimization in PyTorch☆43Updated 6 years ago
- Code for reversible recurrent neural networks☆38Updated 6 years ago
- Weight initialization schemes for PyTorch nn.Modules☆70Updated 8 years ago
- Code to build VAE models that are jointly conditioned.☆36Updated 7 years ago
- Code for ICML 2019 paper "Probabilistic Neural-symbolic Models for Interpretable Visual Question Answering" [long-oral]☆66Updated last year
- The bAbI question-answering dataset ported into T2T.☆32Updated 6 years ago