danieldjohnson / gated-graph-transformer-networkLinks
Code to accompany the paper "Learning Graphical State Transitions"
☆171Updated 8 years ago
Alternatives and similar repositories for gated-graph-transformer-network
Users that are interested in gated-graph-transformer-network are comparing it to the libraries listed below
Sorting:
- Code for Structured Attention Networks https://arxiv.org/abs/1702.00887☆238Updated 8 years ago
- ☆153Updated 7 years ago
- Recurrent Variational Autoencoder with Dilated Convolutions that generates sequential data implemented in pytorch☆71Updated 4 years ago
- The source code for "An Actor Critic Algorithm for Structured Prediction"☆166Updated 8 years ago
- Implementation attempt of "From Softmax to Sparsemax: A Sparse Model of Attention and Multi-Label Classification"☆54Updated 8 years ago
- Tensorflow implementation of a Hierarchical and Multiscale RNN, described in https://arxiv.org/abs/1609.01704☆135Updated 7 years ago
- Sparse and structured neural attention mechanisms☆224Updated 4 years ago
- Top-down Tree LSTM (NAACL 2016) http://aclweb.org/anthology/N/N16/N16-1035.pdf☆83Updated 8 years ago
- Implementation of VLAE☆215Updated 7 years ago
- Implementation of caption-image retrieval from the paper "Order-Embeddings of Images and Language"☆186Updated 8 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
- Gated Graph Sequence Neural Networks☆275Updated 6 years ago
- SparseMAP: differentiable sparse structure inference☆112Updated 6 years ago
- Pytorch implementation of DeepMind's differentiable neural computer paper.☆93Updated 7 years ago
- this is the code used in the paper "Discrete-State Variational Autoencoders for Joint Discovery and Factorization of Relations"☆65Updated 8 years ago
- Tools for PyTorch☆222Updated 2 years ago
- Structured Prediction Energy Networks in Torch☆132Updated 8 years ago
- A variational recurrent neural network implementation in tensorflow☆104Updated 7 years ago
- ☆134Updated 7 years ago
- ☆33Updated 8 years ago
- supercell☆192Updated 7 years ago
- TensorFlow implementation of normalizations such as Layer Normalization, HyperNetworks.☆111Updated 8 years ago
- Code for the paper "Adversarially Regularized Autoencoders (ICML 2018)" by Zhao, Kim, Zhang, Rush and LeCun☆398Updated 5 years ago
- Deriving Neural Architectures from Sequence and Graph Kernels☆59Updated 7 years ago
- ☆92Updated 8 years ago
- Explore OpenReview papers for ICLR (with citation counts, acceptance status, and ratings)!☆87Updated 4 years ago
- Gumbel-Softmax Variational Autoencoder with Keras☆132Updated 7 years ago
- Noise-as-targets representation learning for cifar10. Implementation based on the paper "Unsupervised Learning by Predicting Noise" by Bo…☆23Updated 7 years ago
- Tensorflow implementation of Recursive Neural Networks using LSTM units☆136Updated 9 years ago
- A tensorflow implementation of "Generating Sentences from a Continuous Space"☆227Updated 2 years ago