Timonzimm / poincare-embeddingLinks
Poincaré Embeddings for Learning Hierarchical Representations (https://arxiv.org/abs/1705.08039) in PyTorch
☆15Updated 7 years ago
Alternatives and similar repositories for poincare-embedding
Users that are interested in poincare-embedding are comparing it to the libraries listed below
Sorting:
- ☆48Updated 7 years ago
- Open source implementation of SeaRNN (ICLR 2018, https://openreview.net/forum?id=HkUR_y-RZ)☆48Updated 7 years ago
- ☆45Updated 8 years ago
- A PyTorch implementation of Recurrent Additive Networks by Lee et al. (2017)☆29Updated 8 years ago
- Code release for the paper "Calibrating Energy-based Generative Adversarial Networks"☆24Updated 7 years ago
- Gumbel-Softmax Variational Autoencoder with Keras☆134Updated 8 years ago
- Learning RNN Hierarchies☆45Updated 9 years ago
- Translating neuralese☆45Updated 8 years ago
- Towards cross-lingual distributed representations without parallel text trained with adversarial autoencoders☆22Updated 9 years ago
- Code for Emergent Translation in Multi-Agent Communication☆80Updated 7 years ago
- A TensorFlow Implementation of Machine Translation In Neural Machine Translation in Linear Time☆59Updated 8 years ago
- Quasi-recurrent Neural Networks for Keras☆74Updated 8 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
- An experiment with some brain-inspired ideas☆14Updated 7 years ago
- Reimplementation of Munkhdalai et al's Neural Semantic Encoders (https://arxiv.org/pdf/1607.04315v2.pdf)☆59Updated 8 years ago
- Generative Adversarial Networks in Keras☆46Updated 4 years ago
- Lattice Recurrent Unit: Improving Convergence and Statistical Efficiency for Sequence Modeling☆36Updated 7 years ago
- Variational Dropout Sparsifies Deep Neural Networks (Molchanov et al. 2017) by Chainer☆18Updated 8 years ago
- Poincare Embeddings for Word Vector Representations☆19Updated 7 years ago
- Weight initialization schemes for PyTorch nn.Modules☆70Updated 8 years ago
- ☆16Updated 9 years ago
- Generative Models with TensorFlow☆30Updated 9 years ago
- Python library for extracting mini-batches of data from a data source for the purpose of training neural networks☆87Updated 6 years ago
- Chainer implementation of Self-Normalizing Networks (SNN)☆25Updated 8 years ago
- Differentiable neural computers☆27Updated 8 years ago
- RP-GAN: Stable GAN Training with Random Projections☆22Updated 7 years ago
- Implementation of Poincare Embedding in PyTorch☆13Updated 8 years ago
- TargetProp for RNNs☆27Updated 6 years ago
- A Chainer implementation of OpenAI's finetuned transformer language model with a script to import the weights pre-trained by OpenAI☆28Updated 7 years ago