younggyoseo / rnn-auxiliary-loss

Related projects ⓘ

Alternatives and complementary repositories for rnn-auxiliary-loss

• jaywalnut310 / Vector-Quantized-Autoencoders
  Tensorflow Implementation of "Theory and Experiments on Vector Quantized Autoencoders"
  ☆14Updated 5 years ago
• matthewmackay / reversible-rnn
  Code for reversible recurrent neural networks
  ☆38Updated 5 years ago
• pratikm141 / MMD-Variational-Autoencoder-Pytorch-InfoVAE
  Implementation of the MMD VAE paper (InfoVAE: Information Maximizing Variational Autoencoders) in pytorch
  ☆42Updated 4 years ago
• demelin / Noise-Contrastive-Estimation-NCE-for-pyTorch
  Re-implementation of the Noise Contrastive Estimation algorithm for pyTorch, following "Noise-contrastive estimation: A new estimation pr…
  ☆45Updated 5 years ago
• TalkToTheGAN / REGAN
  ReGAN: Sequence GAN using RE[INFORCE|LAX|BAR] based PG estimators
  ☆41Updated 6 years ago
• SITE5039 / AdaMixUp
  ☆14Updated 5 years ago
• Separius / CudaRelativeAttention
  custom cuda kernel for {2, 3}d relative attention with pytorch wrapper
  ☆43Updated 4 years ago
• snu-mllab / DisentanglementICML19
  "Learning Discrete and Continuous Factors of Data via Alternating Disentanglement" accepted at ICML2019
  ☆21Updated 5 years ago
• 11-626 / Deep-INFOMAX
  This is a pytorch implementation of Deep-INFOMAX.
  ☆35Updated 5 years ago
• christopher-beckham / amr
  Official adversarial mixup resynthesis repository
  ☆35Updated 4 years ago
• denproc / Taming-VAEs
  ☆26Updated 5 years ago
• jmtomczak / vae_vpflows
  Code in PyTorch for the convex combination linear IAF and the Householder Flow, J.M. Tomczak & M. Welling
  ☆90Updated 7 years ago
• gitabcworld / skiprnn_pytorch
  A pytorch implementation of the paper: "Skip RNN: Learning to Skip State Updates in Recurrent Neural Networks"
  ☆81Updated 6 years ago
• distsup / DistSup
  Representation learning for NLP @ JSALT19
  ☆36Updated 4 years ago
• ritheshkumar95 / pytorch-normalizing-flows
  ☆17Updated 6 years ago
• naturomics / DLF
  Code for reproducing results in "Generative Model with Dynamic Linear Flow"
  ☆70Updated 5 years ago
• SeongokRyu / mutual_information_and_self-supervised_learning
  Notes and tutorials on "Mutual information and self-supervised learning"
  ☆39Updated 5 years ago
• eladhoffer / fix_your_classifier
  ☆34Updated 5 years ago
• divymurli / VAEs
  Variational autoencoders: VAE, gaussian mixture VAE (GMVAE), and a basic ladder VAE (LVAE)
  ☆46Updated 4 years ago
• lancopku / AdaNorm
  Code for "Understanding and Improving Layer Normalization"
  ☆46Updated 4 years ago
• TomVeniat / SANAS
  Stochastic Adaptive Neural Architecture Search
  ☆66Updated 6 years ago
• Cyanogenoid / fspool
  [ICLR 2020] FSPool: Learning Set Representations with Featurewise Sort Pooling
  ☆42Updated last year
• shayangharib / AUDASC
  Adversarial Unsupervised Domain Adaptation for Acoustic Scene Classification
  ☆35Updated 6 years ago
• weixsong / NormalizingFlow
  Implementation of different Normalizing Flows, NF, Planar Flows, IAF, etc.
  ☆27Updated 6 years ago
• zhuohan123 / g2-lstm
  Codes for "Towards Binary-Valued Gates for Robust LSTM Training".
  ☆76Updated 6 years ago
• j-min / Dropouts
  PyTorch Implementations of Dropout Variants
  ☆87Updated 6 years ago
• arthurmensch / didyprog
  Differentiable Dynamic Programming
  ☆69Updated 4 years ago
• harvardnlp / TextFlow
  ☆116Updated 5 years ago
• wenjiepei / TAGM
  The source code for Temporal Attention-Gated Model.
  ☆21Updated 7 years ago
• yzh119 / segtree-transformer-v0
  Code for SegTree Transformer (ICLR-RLGM 2019).
  ☆27Updated 5 years ago