Alternatives and similar repositories for sparsemax-pytorch

Users that are interested in sparsemax-pytorch are comparing it to the libraries listed below

• deep-spin / entmax
  The entmax mapping and its loss, a family of sparse softmax alternatives.
  ☆451Updated last year
• haofuml / cyclical_annealing
  ☆196Updated 2 years ago
• lucidrains / sinkhorn-transformer
  Sinkhorn Transformer - Practical implementation of Sparse Sinkhorn Attention
  ☆268Updated 4 years ago
• jxhe / vae-lagging-encoder
  PyTorch implementation of "Lagging Inference Networks and Posterior Collapse in Variational Autoencoders" (ICLR 2019)
  ☆185Updated 4 years ago
• dev4488 / VAE_gumble_softmax
  pytorch implementation of VAE-Gumble-Softmax
  ☆63Updated 5 years ago
• jiacheng-xu / vmf_vae_nlp
  Code for EMNLP18 paper "Spherical Latent Spaces for Stable Variational Autoencoders"
  ☆170Updated 6 years ago
• Stonesjtu / Pytorch-NCE
  The Noise Contrastive Estimation for softmax output written in Pytorch
  ☆319Updated 6 years ago
• YongfeiYan / Gumbel_Softmax_VAE
  PyTorch implementation of a Variational Autoencoder with Gumbel-Softmax Distribution
  ☆211Updated 7 years ago
• wouterkool / stochastic-beam-search
  Implementation of Stochastic Beam Search using Fairseq
  ☆105Updated 6 years ago
• claying / OTK
  A Pytorch implementation of the optimal transport kernel embedding
  ☆118Updated 4 years ago
• zlinao / Variational-Transformer
  Variational Transformers for Diverse Response Generation
  ☆82Updated last year
• zhuohan123 / macaron-net
  Codes for "Understanding and Improving Transformer From a Multi-Particle Dynamic System Point of View"
  ☆148Updated 6 years ago
• rythei / PyTorchOT
  implements optimal transport algorithms in pytorch
  ☆102Updated 3 years ago
• epfml / collaborative-attention
  Code for Multi-Head Attention: Collaborate Instead of Concatenate
  ☆151Updated 2 years ago
• lancopku / AdaNorm
  Code for "Understanding and Improving Layer Normalization"
  ☆46Updated 5 years ago
• takashiishida / flooding
  [ICML 2020] code for the flooding regularizer proposed in "Do We Need Zero Training Loss After Achieving Zero Training Error?"
  ☆94Updated 2 years ago
• harvardnlp / TextFlow
  ☆121Updated 6 years ago
• XuezheMax / flowseq
  Generative Flow based Sequence-to-Sequence Toolkit written in Python.
  ☆246Updated 5 years ago
• layer6ai-labs / T-Fixup
  Code for the ICML'20 paper "Improving Transformer Optimization Through Better Initialization"
  ☆89Updated 4 years ago
• HanqingLu / MultiscaleRNN
  This is a PyTorch implementation of the ICLR 2017 paper "HIERARCHICAL MULTISCALE RECURRENT NEURAL NETWORKS" (https://openreview.net/pdf?i…
  ☆51Updated 7 years ago
• vene / sparse-structured-attention
  Sparse and structured neural attention mechanisms
  ☆225Updated 5 years ago
• j-min / Dropouts
  PyTorch Implementations of Dropout Variants
  ☆87Updated 7 years ago
• ItzikMalkiel / MTAdam
  MTAdam: Automatic Balancing of Multiple Training Loss Terms
  ☆36Updated 4 years ago
• XuezheMax / macow
  Masked Convolutional Flow
  ☆60Updated 5 years ago
• Rick-McCoy / Reformer-pytorch
  Implements Reformer: The Efficient Transformer in pytorch.
  ☆86Updated 5 years ago
• ferrine / hyrnn
  Hyperbolic Neural Networks, pytorch
  ☆87Updated 6 years ago
• laiguokun / Funnel-Transformer
  ☆219Updated 5 years ago
• harvardnlp / cascaded-generation
  Cascaded Text Generation with Markov Transformers
  ☆129Updated 2 years ago
• kingofspace0wzz / wae-rnf-lm
  Pytorch Implemetation for our NAACL2019 Paper "Riemannian Normalizing Flow on Variational Wasserstein Autoencoder for Text Modeling" http…
  ☆63Updated 5 years ago
• dbaranchuk / memory-efficient-maml
  Memory efficient MAML using gradient checkpointing
  ☆86Updated 5 years ago