Alternatives and similar repositories for ladder

Users that are interested in ladder are comparing it to the libraries listed below

• udibr / noisy_labels
  TRAINING DEEP NEURAL-NETWORKS USING A NOISE ADAPTATION LAYER
  ☆118Updated 8 years ago
• wlwkgus / DeepSpectralClustering
  Pytorch Implemention of paper "Deep Spectral Clustering Learning", the state of the art of the Deep Metric Learning Paper
  ☆93Updated 6 years ago
• ToniCreswell / pyTorch_DAAE
  Demonising Adversarial Auto-encoder in PyTorch
  ☆24Updated 6 years ago
• RuiShu / dirt-t
  A DIRT-T Approach to Unsupervised Domain Adaptation (ICLR 2018)
  ☆175Updated 7 years ago
• liyu95 / NN_decision_boundary
  On the decision boundary of deep neural networks
  ☆38Updated 6 years ago
• thuml / MTlearn
  Code release for "Learning Multiple Tasks with Multilinear Relationship Networks" (NIPS 2017)
  ☆71Updated 7 years ago
• biuyq / CT-GAN
  ☆48Updated 7 years ago
• iDurugkar / GMAN
  GANs with multiple Discriminators
  ☆78Updated 2 years ago
• wanglouis49 / pytorch-autoencoders
  Implementation of autoencoders in PyTorch
  ☆57Updated 7 years ago
• mmazeika / glc
  Gold Loss Correction
  ☆87Updated 6 years ago
• rcalland / deep-INFOMAX
  Chainer implementation of deep-INFOMAX
  ☆34Updated 6 years ago
• fducau / AAE_pytorch
  ☆200Updated 8 years ago
• wOOL / Learning_to_Compare
  Demo for the paper titled "Learning to Compare: Relation Network for Few-Shot Learning"
  ☆29Updated 7 years ago
• neale / Adversarial-Autoencoder
  An adversarial autoencoder implementation in pytorch
  ☆83Updated 6 years ago
• ravidziv / Information-bottleneck
  Python implementation of the infomration bottleneck method (tishby et al, 1999)
  ☆36Updated 8 years ago
• liyu95 / SupportNet
  SupportNet: solving catastrophic forgetting in class incremental learning with support data
  ☆34Updated 6 years ago
• ShiyuLiang / odin-pytorch
  Principled Detection of Out-of-Distribution Examples in Neural Networks
  ☆202Updated 7 years ago
• gaohuang / SnapshotEnsemble
  Snapshot Ensembles in Torch (Snapshot Ensembles: Train 1, Get M for Free)
  ☆189Updated 8 years ago
• vodp / py-kmm
  A Python implementation of Kernel Mean Matching data reweighting algorithm
  ☆32Updated 9 years ago
• kimiyoung / ssl_bad_gan
  Good Semi-Supervised Learning That Requires a Bad GAN
  ☆179Updated 7 years ago
• eelxpeng / UnsupervisedDeepLearning-Pytorch
  This repository tries to provide unsupervised deep learning models with Pytorch
  ☆90Updated 7 years ago
• bruno-31 / GAN-manifold-regularization
  This is the code for our paper: Semi-Supervised Learning With GANs: Revisiting Manifold Regularization (ICLR 2018)
  ☆44Updated 6 years ago
• dcmoyer / inv-rep
  Code for Invariant Rep. Without Adversaries (NIPS 2018)
  ☆35Updated 5 years ago
• wOOL / DMTRL
  [Code] Deep Multi-task Representation Learning: A Tensor Factorisation Approach
  ☆58Updated 7 years ago
• RuiShu / cvae
  Conditional variational autoencoder implementation in Torch
  ☆105Updated 9 years ago
• CPJKU / deep_lda
  Implementation of Deep Linear Discriminant Analysis (DeepLDA)
  ☆48Updated 9 years ago
• wzell / mann
  Unsupervised Domain Adaptation with Moment Alignment Neural Networks (Keras)
  ☆60Updated last year
• richardwth / MMD-GAN
  Improving MMD-GAN training with repulsive loss function
  ☆89Updated 2 years ago
• lolemacs / soft-sharing
  Implementation of soft parameter sharing for neural networks
  ☆69Updated 4 years ago
• OctoberChang / MMD-GAN
  MMD-GAN: Towards Deeper Understanding of Moment Matching Network
  ☆199Updated last year