Alternatives and similar repositories for IDNNs:

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

• artemyk / ibsgd
  ☆152Updated 5 years ago
• wiseodd / natural-gradients
  Collection of algorithms for approximating Fisher Information Matrix for Natural Gradient (and second order method in general)
  ☆139Updated 5 years ago
• duvenaud / relax
  Optimizing control variates for black-box gradient estimation
  ☆163Updated 5 years ago
• LeoYu / neural-tangent-kernel-UCI
  Testing Nerual Tangent Kernel (NTK) on small UCI datasets
  ☆83Updated 5 years ago
• damaru2 / ntk
  NTK reading group
  ☆88Updated 5 years ago
• stevenliuyi / information-bottleneck
  demonstration of the information bottleneck theory for deep learning
  ☆61Updated 7 years ago
• ruosongwang / CNTK
  Convolutional Neural Tangent Kernel
  ☆111Updated 5 years ago
• modestyachts / CIFAR-10.1
  Release of CIFAR-10.1, a new test set for CIFAR-10.
  ☆222Updated 5 years ago
• yaroslavvb / kfac_pytorch
  ☆133Updated 7 years ago
• alexalemi / vib_demo
  ☆90Updated 3 years ago
• djstrouse / information-bottleneck
  a python implementation of various versions of the information bottleneck, including automated parameter searching
  ☆126Updated 4 years ago
• pluskid / fitting-random-labels
  Example code for the paper "Understanding deep learning requires rethinking generalization"
  ☆178Updated 4 years ago
• MasanoriYamada / Mine_pytorch
  MINE: Mutual Information Neural Estimation in pytorch (unofficial)
  ☆204Updated 6 years ago
• jmtomczak / vae_vampprior
  Code for the paper "VAE with a VampPrior", J.M. Tomczak & M. Welling
  ☆228Updated 7 years ago
• bayesgroup / variational-dropout-sparsifies-dnn
  Sparse Variational Dropout, ICML 2017
  ☆312Updated 4 years ago
• bethgelab / AnalysisBySynthesis
  Adversarially Robust Neural Network on MNIST.
  ☆64Updated 3 years ago
• artemyk / nonlinearIB
  Nonlinear Information Bottleneck
  ☆54Updated 2 years ago
• KarenUllrich / Tutorial_BayesianCompressionForDL
  A tutorial on "Bayesian Compression for Deep Learning" published at NIPS (2017).
  ☆206Updated 6 years ago
• ericjang / gumbel-softmax
  categorical variational autoencoder using the Gumbel-Softmax estimator
  ☆431Updated 8 years ago
• MadryLab / robust-features-code
  Code for "Robustness May Be at Odds with Accuracy"
  ☆91Updated 2 years ago
• jhjacobsen / pytorch-i-revnet
  i-RevNet Pytorch Code
  ☆392Updated 4 years ago
• nicola-decao / s-vae-tf
  Tensorflow implementation of Hyperspherical Variational Auto-Encoders
  ☆230Updated 6 years ago
• RuiShu / vae-experiments
  Code for some of the experiments I did with variational autoencoders on multi-modality and atari video prediction. Atari video prediction…
  ☆62Updated 8 years ago
• wendazhou / nnet-compression-generalization
  ☆27Updated 6 years ago
• ucla-vision / entropy-sgd
  Lua implementation of Entropy-SGD
  ☆82Updated 7 years ago
• casperkaae / LVAE
  Code for "How to Train Deep Variational Autoencoders and Probabilistic Ladder Networks"
  ☆101Updated 9 years ago
• microsoft / deterministic-variational-inference
  Sample code for running deterministic variational inference to train Bayesian neural networks
  ☆100Updated 6 years ago
• uber-research / intrinsic-dimension
  ☆219Updated 6 years ago
• dongyp13 / Robust-and-Explainable-Machine-Learning
  Related materials for robust and explainable machine learning
  ☆48Updated 7 years ago
• OctoberChang / MMD-GAN
  MMD-GAN: Towards Deeper Understanding of Moment Matching Network
  ☆198Updated last year