Alternatives and similar repositories for fanova

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

• andymiller / ReducedVarianceReparamGradients
  Reducing Reparameterization Gradient Variance code.
  ☆33Updated 8 years ago
• HIPS / maxwells-daemon
  Fastidious accounting of entropy streams into and out of optimization and sampling algorithms.
  ☆32Updated 9 years ago
• cranmer / poisson-convolution-sum
  Implements an infinite sum of poisson-weighted convolutions
  ☆27Updated 6 years ago
• rhaps0dy / convnets-as-gps
  Code for "Deep Convolutional Networks as shallow Gaussian Processes"
  ☆39Updated 6 years ago
• awentzonline / pytorch-cns
  Generalized Compressed Network Search with PyTorch
  ☆26Updated 7 years ago
• yaoli / nade_k
  An iterative neural autoregressive distribution estimator (NADE-K)
  ☆26Updated 10 years ago
• casmls / casmls.github.io
  Columbia Advanced Machine Learning Seminar
  ☆24Updated 6 years ago
• davmre / treegp
  Gaussian Process Regression for Python/Numpy
  ☆14Updated 9 years ago
• Bihaqo / exp-machines
  Exponential Machines implementation
  ☆41Updated 3 months ago
• moskomule / eve.pytorch
  ☆33Updated 3 years ago
• soumith / deep_gitstats
  Based on SciPy's normalized git stats, adapted for Deep Learning frameworks
  ☆16Updated 8 years ago
• cchangyou / Santa
  Code for the Santa algorithm for deep learning
  ☆17Updated 7 years ago
• arayabrain / GenerativeControl
  Code for a generative controller for the AI Gym cartpole task
  ☆15Updated 8 years ago
• DeNeutoy / act-rte-inference
  ☆15Updated 8 years ago
• BigBayes / SGRLD
  Stochastic Gradient Riemannian Langevin Dynamics
  ☆33Updated 10 years ago
• Qwlouse / Binding
  Code for the "Binding via Reconstruction Clustering" paper
  ☆21Updated 9 years ago
• mrkulk / inverse-graphics-networks
  (Deprecated) See https://github.com/mrkulk/Unsupervised-Capsule-Network
  ☆14Updated 10 years ago
• MatthieuCourbariaux / AdversarialGradient
  A very simple variant of adversarial training that yields excellent results on MNIST
  ☆12Updated 9 years ago
• cjratcliff / variational-dropout
  TensorFlow implementation of the method from Variational Dropout Sparsifies Deep Neural Networks, Molchanov et al. (2017)
  ☆16Updated 8 years ago
• eelenberg / streak
  Interpreting neural networks via the STREAK algorithm (streaming weak submodular maximization)
  ☆23Updated 7 years ago
• paulbertens / rank-ordered-autoencoder
  Rank Ordered Autoencoder implementation as described in https://arxiv.org/abs/1605.01749
  ☆34Updated 9 years ago
• diogo149 / treeano
  more composable than other neural network libraries
  ☆42Updated 8 years ago
• pranv / lrh
  Learning RNN Hierarchies
  ☆44Updated 9 years ago
• DmitryUlyanov / pytorch-in-theano
  Run Pytorch graphs inside Theano graph (and pytorch wrapper for AIS for generative models).
  ☆18Updated 7 years ago
• Philip-Bachman / Sequential-Generation
  Generative models and other stuff too, maybe, perhaps even probably
  ☆16Updated 9 years ago
• HUJI-Deep / Generative-ConvACs
  Experiments from the article "Tensorial Mixture Models"
  ☆25Updated 7 years ago
• Philip-Bachman / MatNets-NIPS
  Repo for code for the NIPS paper entitled "An Architecture for Deep, Hierarchical Generative Models"
  ☆14Updated 8 years ago
• yaroslavvb / imperative
  imperative programming in TensorFlow
  ☆18Updated 8 years ago
• dirkweissenborn / mufuru
  Tensorflow Implementation of Multi-Function Recurrent Unit
  ☆23Updated 9 years ago
• Orcuslc / OrthNet
  TensorFlow, PyTorch and Numpy layers for generating Orthogonal Polynomials
  ☆31Updated 7 years ago