Alternatives and similar repositories for poincare-embedding:

Users that are interested in poincare-embedding are comparing it to the libraries listed below

• soskek / chainer-openai-transformer-lm
  A Chainer implementation of OpenAI's finetuned transformer language model with a script to import the weights pre-trained by OpenAI
  ☆28Updated 6 years ago
• elanmart / psmm
  ☆49Updated 6 years ago
• bheinzerling / ran
  A PyTorch implementation of Recurrent Additive Networks by Lee et al. (2017)
  ☆29Updated 7 years ago
• RemiLeblond / SeaRNN-open
  Open source implementation of SeaRNN (ICLR 2018, https://openreview.net/forum?id=HkUR_y-RZ)
  ☆48Updated 6 years ago
• kentonl / ran
  ☆45Updated 7 years ago
• braingineer / ikelos
  a keras toolkit
  ☆35Updated 8 years ago
• soskek / variational_dropout_sparsifies_dnn
  Variational Dropout Sparsifies Deep Neural Networks (Molchanov et al. 2017) by Chainer
  ☆18Updated 7 years ago
• cmaddis / astar-sampling
  A generic Monte Carlo method based on the Gumbel-Max trick.
  ☆32Updated 8 years ago
• pranv / lrh
  Learning RNN Hierarchies
  ☆44Updated 8 years ago
• Avmb / clweadv
  Towards cross-lingual distributed representations without parallel text trained with adversarial autoencoders
  ☆22Updated 8 years ago
• aleSuglia / squadgym
  Environment that can be used to evaluate reasoning capabilities of artificial agents
  ☆27Updated 8 years ago
• julianser / hred-latent-piecewise
  ☆19Updated 6 years ago
• jacobandreas / neuralese
  Translating neuralese
  ☆44Updated 7 years ago
• zihangdai / cegan_iclr2017
  Code release for the paper "Calibrating Energy-based Generative Adversarial Networks"
  ☆23Updated 7 years ago
• ischlag / TPR-RNN
  Code for the publication Learning to Reason with Third-Order Tensor Products.
  ☆40Updated 6 years ago
• anandsaha / nips.cocob.pytorch
  PyTorch implementation of the NIPS'17 paper Training Deep Networks without Learning Rates Through Coin Betting.
  ☆37Updated 6 years ago
• nmfisher / poincare-embeddings
  Poincare Embeddings for Word Vector Representations
  ☆19Updated 7 years ago
• kefirski / bytenet
  Pytorch implementation of bytenet from "Neural Machine Translation in Linear Time" paper
  ☆46Updated 7 years ago
• kadarakos / hieratt
  Experimenting with Hierarchical Attention Networks from https://arxiv.org/abs/1606.02393 in Keras
  ☆13Updated 8 years ago
• zhegan27 / ConvSent
  The training code for the EMNLP 2017 paper "Learning Generic Sentence Representations Using Convolutional Neural Networks"
  ☆34Updated 7 years ago
• musyoku / self-normalizing-networks
  Chainer implementation of Self-Normalizing Networks (SNN)
  ☆25Updated 7 years ago
• nyu-dl / dl4mt-multi-src
  ☆19Updated 8 years ago
• uralik / beamdream
  ☆28Updated 3 years ago
• ml-lab / auxiliary-deep-generative-models
  Implementation of auxiliary deep generative models for semi-supervised learning
  ☆28Updated 9 years ago
• moskomule / eve.pytorch
  ☆33Updated 3 years ago
• kyunghyuncho / skip-thoughts
  ☆23Updated 9 years ago
• ankitkv / TextGAN
  Improving text generation with adversarial objectives
  Updated 8 years ago
• TatsuyaShirakawa / pytorch-poincare-embedding
  Implementation of Poincare Embedding in PyTorch
  ☆13Updated 7 years ago
• dirkweissenborn / mufuru
  Tensorflow Implementation of Multi-Function Recurrent Unit
  ☆23Updated 8 years ago
• arahuja / generative-tf
  Generative Models with TensorFlow
  ☆31Updated 9 years ago