Alternatives and similar repositories for entropy-sgd-tf

Users that are interested in entropy-sgd-tf are comparing it to the libraries listed below

• brain-research / conv-sv
  The Singular Values of Convolutional Layers
  ☆71Updated 7 years ago
• Orcuslc / OrthNet
  TensorFlow, PyTorch and Numpy layers for generating Orthogonal Polynomials
  ☆31Updated 7 years ago
• moskomule / shampoo.pytorch
  An implementation of shampoo
  ☆77Updated 7 years ago
• orobix / Visual-Feature-Attribution-Using-Wasserstein-GANs-Pytorch
  Implementation of Visual Feature Attribution using Wasserstein GANs (VAGANs, https://arxiv.org/abs/1711.08998) in PyTorch
  ☆93Updated 2 years ago
• AdamCobb / LCBNN
  ☆25Updated 3 years ago
• edouardoyallon / scalingscattering
  ☆82Updated 8 years ago
• rhaps0dy / convnets-as-gps
  Code for "Deep Convolutional Networks as shallow Gaussian Processes"
  ☆39Updated 6 years ago
• tfrerix / proxprop
  Proximal Backpropagation - a neural network training algorithm that takes implicit instead of explicit gradient steps
  ☆42Updated 6 years ago
• brain-research / ncp
  Reliable Uncertainty Estimates in Deep Neural Networks using Noise Contrastive Priors
  ☆62Updated 5 years ago
• yaohungt / Adaptive-Regularization-Neural-Network
  [NeurIPS'19] [PyTorch] Adaptive Regularization in NN
  ☆68Updated 6 years ago
• facebookresearch / DeepConvexity
  Easing non-convex optimization with neural networks.
  ☆23Updated 7 years ago
• ucla-vision / entropy-sgd
  Lua implementation of Entropy-SGD
  ☆81Updated 7 years ago
• vsyrgkanis / optimistic_GAN_training
  ☆46Updated 7 years ago
• ajbrock / BoilerPlate
  Odds and Ends and Things I've implemented.
  ☆78Updated 6 years ago
• brain-research / mean-field-cnns
  ☆34Updated 6 years ago
• Wizaron / binary-stochastic-neurons
  Binary Stochastic Neurons in PyTorch
  ☆57Updated 7 years ago
• MSusik / Inhibited-softmax
  Repository with code for paper "Inhibited Softmax for Uncertainty Estimation in Neural Networks"
  ☆25Updated 6 years ago
• ssydasheng / Neural-Kernel-Network
  Code for "Differentiable Compositional Kernel Learning for Gaussian Processes" https://arxiv.org/abs/1806.04326
  ☆71Updated 7 years ago
• lballes / msvag
  TensorFlow implementation of (Momentum) Stochastic Variance-Adapted Gradient.
  ☆44Updated 7 years ago
• robintibor / generative-reversible
  ☆32Updated 7 years ago
• eladhoffer / fix_your_classifier
  ☆34Updated 6 years ago
• kefirski / variational_dropout
  Implementation of "Variational Dropout and the Local Reparameterization Trick" paper with Pytorch
  ☆48Updated 8 years ago
• emtiyaz / vadam
  Code for ICML 2018 paper on "Fast and Scalable Bayesian Deep Learning by Weight-Perturbation in Adam" by Khan, Nielsen, Tangkaratt, Lin, …
  ☆112Updated 6 years ago
• cranmer / poisson-convolution-sum
  Implements an infinite sum of poisson-weighted convolutions
  ☆27Updated 7 years ago
• BorealisAI / bre-gan
  Code for ICLR2018 paper: Improving GAN Training via Binarized Representation Entropy (BRE) Regularization - Y. Cao · W Ding · Y.C. Lui · …
  ☆20Updated 7 years ago
• artix41 / AVO-pytorch
  Implementation of Adversarial Variational Optimization in PyTorch
  ☆43Updated 7 years ago
• ucla-vision / information-dropout
  Implementation of Information Dropout
  ☆39Updated 8 years ago
• pomonam / NoisyNaturalGradient
  TensorFlow implementation of "noisy K-FAC" and "noisy EK-FAC".
  ☆60Updated 6 years ago
• rdevon / BGAN
  boundary-seeking generative adversarial networks
  ☆46Updated 7 years ago
• ayanc / rpgan
  RP-GAN: Stable GAN Training with Random Projections
  ☆22Updated 7 years ago