imatge-upc / danifojo-2018-repeatrnnLinks
Comparing Fixed and Adaptive Computation Time for Recurrent Neural Networks
☆35Updated 7 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
Sorting:
- learning to search in pytorch☆110Updated 5 years ago
- SparseMAP: differentiable sparse structure inference☆112Updated 6 years ago
- Recurrent Variational Autoencoder with Dilated Convolutions that generates sequential data implemented in pytorch☆71Updated 4 years ago
- Code for Emergent Translation in Multi-Agent Communication☆80Updated 7 years ago
- Translating neuralese☆44Updated 8 years ago
- Code for the publication Learning to Reason with Third-Order Tensor Products.☆41Updated 6 years ago
- Weight initialization schemes for PyTorch nn.Modules☆70Updated 8 years ago
- Code release for the paper "Calibrating Energy-based Generative Adversarial Networks"☆24Updated 7 years ago
- ☆63Updated 7 years ago
- Cleaned original source code from my NIPS publication☆156Updated 7 years ago
- Pytorch implementation of bytenet from "Neural Machine Translation in Linear Time" paper☆46Updated 7 years ago
- ☆28Updated 3 years ago
- Pytorch implementation of DeepMind's differentiable neural computer paper.☆93Updated 7 years ago
- ☆57Updated 7 years ago
- Open source implementation of SeaRNN (ICLR 2018, https://openreview.net/forum?id=HkUR_y-RZ)☆48Updated 7 years ago
- Implement Decoupled Neural Interfaces using Synthetic Gradients in Pytorch☆119Updated 7 years ago
- Code and data for the CoNLL 2018 paper "Adversarially Regularising Neural NLI Models to Integrate Logical Background Knowledge."☆25Updated 6 years ago
- Code for experiments with our RNN regularizer, which stochastically forces units to maintain previous values.☆78Updated 7 years ago
- A PyTorch implementation of Recurrent Additive Networks by Lee et al. (2017)☆29Updated 7 years ago
- Experiments with differentiable stacks and queues in PyTorch☆142Updated 5 years ago
- Experiments from "The Description Length of Deep Learning Models"☆10Updated 7 years ago
- boundary-seeking generative adversarial networks☆46Updated 7 years ago
- An implementation of a Variational-Autoencoder using the Gumbel-Softmax reparametrization trick in TensorFlow (tested on r1.5 CPU and GPU…☆72Updated 7 years ago
- Code for "Systematic Generalization: What Is Required and Can It Be Learned"☆37Updated 6 years ago
- Code to build VAE models that are jointly conditioned.☆36Updated 7 years ago
- Code for the paper "Representation Learning for Grounded Spatial Reasoning"☆52Updated 5 years ago
- SCAN: Learning Abstract Hierarchical Compositional Visual Concepts☆54Updated 7 years ago
- Sparse and structured neural attention mechanisms☆224Updated 4 years ago
- ☆79Updated 7 years ago
- ☆153Updated 7 years ago