Alternatives and similar repositories for rbfn

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

• wmingwei / restricted-boltzmann-machine-deep-belief-network-deep-boltzmann-machine-in-pytorch
  ☆52Updated 8 years ago
• geniki / neural-processes
  PyTorch implementation of Neural Processes
  ☆88Updated 6 years ago
• kekeblom / DeepCGP
  Deep convolutional gaussian processes.
  ☆82Updated 6 years ago
• maka89 / Deep-Kernel-GP
  Deep Kernel Learning. Gaussian Process Regression where the input is a neural network mapping of x that maximizes the marginal likelihood
  ☆95Updated 8 years ago
• google / wasserstein-dist
  tensorflow implementation of the Wasserstein (aka optimal transport) distance
  ☆73Updated 4 years ago
• hutec / UncertaintyNN
  Implementation and evaluation of different approaches to get uncertainty in neural networks
  ☆141Updated 7 years ago
• michaelshiyu / kerNET
  Modular learning for deep classifiers
  ☆23Updated 3 years ago
• DanielTakeshi / MCMC_and_Dynamics
  Practice with MCMC methods and dynamics (Langevin, Hamiltonian, etc.)
  ☆42Updated 5 years ago
• anassinator / bnn
  Bayesian Neural Network in PyTorch
  ☆93Updated last year
• vincentherrmann / wasserstein-notebook
  Wasserstein / earth mover's distance visualizations
  ☆66Updated 8 years ago
• raj-shah / BayesianCNN
  Bayesian Convolutional Neural Networks with Bernoulli Approximate Variational Inference, Gal et al. 2015
  ☆36Updated 7 years ago
• avijit9 / Contractive_Autoencoder_in_Pytorch
  Pytorch implementation of contractive autoencoder on MNIST dataset
  ☆53Updated 7 years ago
• vvanirudh / deep-ensembles-uncertainty
  My implementation of the paper "Simple and Scalable Predictive Uncertainty estimation using Deep Ensembles"
  ☆140Updated 8 years ago
• dimkastan / PyTorch-Spectral-clustering
  [Under development]- Implementation of various methods for dimensionality reduction and spectral clustering implemented with Pytorch
  ☆163Updated 8 years ago
• timudk / SPDENN
  A Discussion on Solving Partial Differential Equations using Neural Networks
  ☆66Updated 6 years ago
• GabrielBianconi / pytorch-rbm
  Restricted Boltzmann Machines (RBMs) in PyTorch
  ☆167Updated 7 years ago
• oarriaga / RBF-Network
  Minimal implementation of a radial basis function network.
  ☆74Updated 6 years ago
• ritheshkumar95 / energy_based_generative_models
  PyTorch code accompanying our paper on Maximum Entropy Generators for Energy-Based Models
  ☆155Updated 6 years ago
• dilinwang820 / nonlinear_svgd
  Nonlinear SVGD for Learning Diversified Mixture Models
  ☆13Updated 7 years ago
• akosiorek / stacked_capsule_autoencoders
  ☆81Updated 3 years ago
• maitek / waae-pytorch
  Wasserstein Adversarial Autoencoder Pytorch
  ☆28Updated 7 years ago
• LynnHo / VAE-Tensorflow
  (beta-)VAE Tensorflow
  ☆51Updated 7 years ago
• mikigom / large-scale-OT-mapping-TF
  Tensorflow Implementation of "Large-scale Optimal Transport and Mapping Estimation"(ICLR2018/NIPS 2017 OTML)
  ☆20Updated 7 years ago
• Riashat / Deep-Bayesian-Active-Learning
  Code for Deep Bayesian Active Learning (ICML 2017)
  ☆112Updated 7 years ago
• ToniCreswell / attribute-cVAEGAN
  Conditional Autoencoders with Adversarial Information Factorization
  ☆73Updated 7 years ago
• vodp / py-kmm
  A Python implementation of Kernel Mean Matching data reweighting algorithm
  ☆33Updated 10 years ago
• thuml / MTlearn
  Code release for "Learning Multiple Tasks with Multilinear Relationship Networks" (NIPS 2017)
  ☆71Updated 8 years ago
• rajatvd / NeuralODE
  Experiments with Neural ODEs and Adversarial Attacks
  ☆44Updated 7 years ago
• MinhyungCho / riemannian-batch-normalization-pytorch
  Riemannian approach to batch normalization
  ☆22Updated 8 years ago
• 2prime / ODE-DL
  Paper List For Linking ODE and Deep Learning
  ☆246Updated 5 years ago