Alternatives and similar repositories for kfac_pytorch

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

• AMLab-Amsterdam / MNF_VBNN
  Multiplicative Normalizing Flow (MNF) posteriors for variational Bayesian neural networks
  ☆65Updated 5 years ago
• duvenaud / relax
  Optimizing control variates for black-box gradient estimation
  ☆163Updated 6 years ago
• koz4k / dni-pytorch
  Decoupled Neural Interfaces using Synthetic Gradients for PyTorch
  ☆239Updated 7 years ago
• renmengye / tensorflow-forward-ad
  Forward-mode Automatic Differentiation for TensorFlow
  ☆139Updated 7 years ago
• pomonam / NoisyNaturalGradient
  TensorFlow implementation of "noisy K-FAC" and "noisy EK-FAC".
  ☆60Updated 7 years ago
• gbaydin / hypergradient-descent
  Hypergradient descent
  ☆147Updated last year
• kimhc6028 / pathnet-pytorch
  PyTorch implementation of PathNet: Evolution Channels Gradient Descent in Super Neural Networks
  ☆81Updated 8 years ago
• taesungp / real-nvp
  Implementation of Real-NVP in Tensorflow
  ☆101Updated 7 years ago
• eladhoffer / bigBatch
  Code used to generate the results appearing in "Train longer, generalize better: closing the generalization gap in large batch training o…
  ☆149Updated 8 years ago
• Bonnevie / rebar
  A Python implementation of the gradient REBAR estimator.
  ☆46Updated 7 years ago
• AMLab-Amsterdam / SEVDL_MGP
  Example implementation of the Bayesian neural network in "Structured and Efficient Variational Deep Learning with Matrix Gaussian Posteri…
  ☆30Updated 5 years ago
• pawni / BayesByHypernet
  Code for the paper Implicit Weight Uncertainty in Neural Networks
  ☆65Updated 6 years ago
• uber-research / intrinsic-dimension
  ☆219Updated 7 years ago
• bayesgroup / variational-dropout-sparsifies-dnn
  Sparse Variational Dropout, ICML 2017
  ☆312Updated 5 years ago
• mariogeiger / hessian
  hessian in pytorch
  ☆187Updated 5 years ago
• ucla-vision / entropy-sgd
  Lua implementation of Entropy-SGD
  ☆81Updated 7 years ago
• gd-zhang / noisy-K-FAC
  Natural Gradient, Variational Inference
  ☆29Updated 6 years ago
• ermongroup / a-nice-mc
  Code for "A-NICE-MC: Adversarial Training for MCMC"
  ☆125Updated 7 years ago
• akosiorek / attend_infer_repeat
  A Tensorfflow implementation of Attend, Infer, Repeat
  ☆80Updated 7 years ago
• tensorflow / kfac
  An implementation of KFAC for TensorFlow
  ☆199Updated 3 years ago
• jmtomczak / vae_vpflows
  Code in PyTorch for the convex combination linear IAF and the Householder Flow, J.M. Tomczak & M. Welling
  ☆92Updated 8 years ago
• rhaps0dy / convnets-as-gps
  Code for "Deep Convolutional Networks as shallow Gaussian Processes"
  ☆39Updated 6 years ago
• andrewliao11 / dni.pytorch
  Implement Decoupled Neural Interfaces using Synthetic Gradients in Pytorch
  ☆121Updated 8 years ago
• renmengye / meta-optim-public
  Understanding Short-Horizon Bias in Stochastic Meta-Optimization
  ☆37Updated 7 years ago
• joelouismarino / iterative_inference
  Implementation of iterative inference in deep latent variable models
  ☆43Updated 6 years ago
• t-vi / candlegp
  Gaussian Processes in Pytorch
  ☆76Updated 5 years ago
• tfrerix / proxprop
  Proximal Backpropagation - a neural network training algorithm that takes implicit instead of explicit gradient steps
  ☆42Updated 6 years ago
• kefirski / variational_dropout
  Implementation of "Variational Dropout and the Local Reparameterization Trick" paper with Pytorch
  ☆49Updated 8 years ago
• conormdurkan / autoregressive-energy-machines
  Autoregressive Energy Machines
  ☆78Updated 3 years ago
• toiaydcdyywlhzvlob / backpack
  This repository is no longer maintained. Check
  ☆81Updated 5 years ago