Alternatives and similar repositories for lindaedynamics_icml2018:

Users that are interested in lindaedynamics_icml2018 are comparing it to the libraries listed below

• asanakoy / cliquecnn
  Code for our paper "CliqueCNN: Deep Unsupervised Exemplar Learning" https://arxiv.org/abs/1608.08792
  ☆22Updated 7 years ago
• shinseung428 / image_control_TF
  ☆13Updated 7 years ago
• sbelharbi / learning-class-invariant-features
  Repository for the code of the paper "Neural Networks Regularization Through Class-wise Invariant Representation Learning".
  ☆12Updated 7 years ago
• awentzonline / pytorch-cns
  Generalized Compressed Network Search with PyTorch
  ☆26Updated 7 years ago
• frkl / active-learning
  Active learning for deep learning
  ☆19Updated 6 years ago
• RobRomijnders / dan
  Domain Agnostic Normalization layer for Unsupervised Domain Adaptation
  ☆11Updated 2 years ago
• greentfrapp / doping
  Code for DOPING: Generative Data Augmentation for Unsupervised Anomaly Detection with GAN
  ☆15Updated 6 years ago
• vsuriya93 / Deep-Learning-for-Graph-Representations
  This contains my M.Tech project work on using Deep Leanring for learning graph representations. Data will be provided on request
  ☆33Updated 7 years ago
• blengerich / explainable-cnn
  Towards Visual Explanations for Convolutional Neural Networks via Input Resampling
  ☆13Updated 7 years ago
• divelab / vqa-text
  ☆19Updated 6 years ago
• ToniCreswell / pyTorch_DAAE
  Demonising Adversarial Auto-encoder in PyTorch
  ☆24Updated 6 years ago
• jramapuram / LifelongVAE
  Lifelong Variational Autoencoder
  ☆14Updated 7 years ago
• zxie / vae
  Variational autoencoder in Theano
  ☆12Updated 7 years ago
• MOhammedJAbi / SoftKMeans
  Implementation of Deep Soft-K means
  ☆28Updated 3 years ago
• cranmer / poisson-convolution-sum
  Implements an infinite sum of poisson-weighted convolutions
  ☆26Updated 6 years ago
• aniketde / DomainGeneralizationMarginal
  ☆13Updated 7 years ago
• javiergonzalezh / dpp
  Python package to sample from determinantal point processes
  ☆18Updated 9 years ago
• fraenkel-lab / GSLR
  An algorithm for classification from a graph-sparse support
  ☆15Updated 6 years ago
• bartwojcik / lossgrad
  Implementation of the LOSSGRAD optimization algorithm
  ☆15Updated 6 years ago
• jhjacobsen / HierarchicalCNN
  ☆29Updated 7 years ago
• cjratcliff / variational-dropout
  TensorFlow implementation of the method from Variational Dropout Sparsifies Deep Neural Networks, Molchanov et al. (2017)
  ☆16Updated 7 years ago
• bioinf-jku / librfn
  Rectified Factor Networks
  ☆38Updated 5 years ago
• AtheMathmo / AggMo
  Code for "Aggregated Momentum: Stability Through Passive Damping", Lucas et al. 2018
  ☆34Updated 6 years ago
• sidkk86 / weight_initialization
  Code for replicating results in 'On Weight Initializations in Deep Neural Networks'
  ☆10Updated 7 years ago
• insperatum / vhe
  The Variational Homoencoder: Learning to learn high capacity generative models from few examples
  ☆34Updated last year
• brekelma / echo
  Echo Noise Channel for Exact Mutual Information Calculation
  ☆17Updated 4 years ago
• paper-submissions / norm_matters
  ☆13Updated 7 years ago
• ushaham / RBMpaper
  experiments and datasets used for the paper "A Deep Learning Approach to Unsupervised Ensemble Learning"
  ☆20Updated 8 years ago
• HUJI-Deep / Generative-ConvACs
  Experiments from the article "Tensorial Mixture Models"
  ☆25Updated 6 years ago
• foxlf823 / DilatedRnn
  A PyTorch implement of Dilated RNN
  ☆11Updated 7 years ago