Alternatives and similar repositories for hessianfree:

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

• tonywu95 / eval_gen
  Evaluation code with models for the paper "On the Quantitative Analysis of Decoder-Based Generative Models"
  ☆130Updated 7 years ago
• alykhantejani / nninit
  Weight initialization schemes for PyTorch nn.Modules
  ☆70Updated 7 years ago
• zhirongw / deep-mrf
  ☆76Updated 8 years ago
• doomie / HessianFree
  An implementation of the Hessian-free optimization algorithm in Theano
  ☆61Updated 13 years ago
• yaoli / GSN
  Efficient implementation of Generative Stochastic Networks
  ☆317Updated 8 years ago
• MycChiu / fast-LayerNorm-TF
  Efficient layer normalization GPU kernel for Tensorflow
  ☆111Updated 7 years ago
• shakedshammah / failures_of_DL
  ☆90Updated 7 years ago
• clementfarabet / lua---mattorch
  An interface between Torch and Matlab
  ☆31Updated 9 years ago
• renmengye / tensorflow-forward-ad
  Forward-mode Automatic Differentiation for TensorFlow
  ☆140Updated 6 years ago
• jych / cle
  ☆89Updated 8 years ago
• cilvrRG / DeepLearn-Theory
  Topics on theoretical, mathematical aspects of DL
  ☆71Updated 8 years ago
• Qwlouse / Binding
  Code for the "Binding via Reconstruction Clustering" paper
  ☆21Updated 8 years ago
• amarshah / complex_RNN
  unitary matrix for hidden to hidden layer
  ☆75Updated 7 years ago
• google-deepmind / mnist-cluttered
  Cluttered MNIST Dataset
  ☆50Updated 9 years ago
• Smerity / search_iclr_2018
  ☆79Updated 6 years ago
• yaoli / nade_k
  An iterative neural autoregressive distribution estimator (NADE-K)
  ☆26Updated 10 years ago
• skaae / vaeblog
  ☆77Updated 9 years ago
• jn2clark / nn-iterated-projections
  Neural network training using iterated projections.
  ☆89Updated 8 years ago
• ucla-vision / parle
  ☆38Updated 6 years ago
• casperkaae / parmesan
  Variational and semi-supervised neural network toppings for Lasagne
  ☆208Updated 8 years ago
• RuiShu / tensorbayes
  Deep variational inference in tensorflow
  ☆56Updated 6 years ago
• amujika / Fast-Slow-LSTM
  ☆93Updated 7 years ago
• pranv / ARC
  Code for Attentive Recurrent Comparators
  ☆57Updated 7 years ago
• yburda / iwae
  Code to train Importance Weighted Autoencoders on MNIST and OMNIGLOT
  ☆206Updated 8 years ago
• gngdb / variational-dropout
  Replication of the paper "Variational Dropout and the Local Reparameterization Trick" using Lasagne.
  ☆33Updated 7 years ago
• caglar / dntm
  D-NTM paper repo
  ☆26Updated 7 years ago
• jiamings / fast-weights
  Implementation of the paper [Using Fast Weights to Attend to the Recent Past](https://arxiv.org/abs/1610.06258)
  ☆172Updated 8 years ago
• lucastheis / cmt
  Fast CPU implementations of several conditional probabilistic models
  ☆36Updated last year
• casmls / casmls.github.io
  Columbia Advanced Machine Learning Seminar
  ☆24Updated 6 years ago