Alternatives and similar repositories for fanova:

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

• mrkulk / inverse-graphics-networks
  (Deprecated) See https://github.com/mrkulk/Unsupervised-Capsule-Network
  ☆14Updated 9 years ago
• moskomule / eve.pytorch
  ☆33Updated 3 years ago
• bshahr / torch-dngo
  Torch implementation of the Deep Network for Global Optimization (DNGO)
  ☆51Updated 8 years ago
• awentzonline / pytorch-cns
  Generalized Compressed Network Search with PyTorch
  ☆26Updated 7 years ago
• HUJI-Deep / Generative-ConvACs
  Experiments from the article "Tensorial Mixture Models"
  ☆25Updated 6 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
• rhaps0dy / convnets-as-gps
  Code for "Deep Convolutional Networks as shallow Gaussian Processes"
  ☆39Updated 5 years ago
• CW-Huang / BayesianHypernet
  ☆17Updated 7 years ago
• MatthieuCourbariaux / AdversarialGradient
  A very simple variant of adversarial training that yields excellent results on MNIST
  ☆12Updated 9 years ago
• jaak-s / nips2014-survey
  Survey of hyperparameter optimization use in NIPS2014
  ☆12Updated 9 years ago
• HIPS / maxwells-daemon
  Fastidious accounting of entropy streams into and out of optimization and sampling algorithms.
  ☆32Updated 8 years ago
• cranmer / poisson-convolution-sum
  Implements an infinite sum of poisson-weighted convolutions
  ☆26Updated 6 years ago
• soumith / deep_gitstats
  Based on SciPy's normalized git stats, adapted for Deep Learning frameworks
  ☆16Updated 8 years ago
• eelenberg / streak
  Interpreting neural networks via the STREAK algorithm (streaming weak submodular maximization)
  ☆23Updated 7 years ago
• cchangyou / Santa
  Code for the Santa algorithm for deep learning
  ☆17Updated 6 years ago
• nicholas-leonard / drmad
  Hyper-parameter Optimization with DrMAD and Hypero
  ☆23Updated 8 years ago
• szagoruyko / openai-gemm.pytorch
  PyTorch bindings for openai-gemm
  ☆20Updated 8 years ago
• Qwlouse / Binding
  Code for the "Binding via Reconstruction Clustering" paper
  ☆21Updated 9 years ago
• shraman-rc / vae
  Fun with variational autoencoders.
  ☆11Updated 7 years ago
• ExpectationBackpropagation / EBP_Matlab_Code
  ☆11Updated 9 years ago
• bmcfee / mlr
  Metric Learning to Rank
  ☆46Updated 11 years ago
• rueberger / MJHMC
  Python implementation of Markov Jump Hamiltonian Monte Carlo
  ☆24Updated 8 years ago
• golkar / backdrop
  Implementation and demonstration of backdrop in pytorch. Code and demonstration of GP dataset generator.
  ☆68Updated 6 years ago
• yaolubrain / DOSNES
  Doubly Stochastic Neighbor Embedding on Spheres
  ☆58Updated 5 years ago
• paulbertens / rank-ordered-autoencoder
  Rank Ordered Autoencoder implementation as described in https://arxiv.org/abs/1605.01749
  ☆33Updated 8 years ago
• rarilurelo / tensorflow-synthetic_gradient
  ☆16Updated 8 years ago
• soumith / mltrain-nips-2017
  This repository contains all the material for the MLTrain NIPS workshop
  ☆10Updated 7 years ago
• fraenkel-lab / GSLR
  An algorithm for classification from a graph-sparse support
  ☆15Updated 6 years ago
• pranv / lrh
  Learning RNN Hierarchies
  ☆44Updated 8 years ago
• yaoli / nade_k
  An iterative neural autoregressive distribution estimator (NADE-K)
  ☆26Updated 10 years ago