Alternatives and similar repositories for RBFnet:

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

• jayhack / LSTMVRAE
  Variational Recurrent Auto-Encoder using LSTM encoder/decoder networks
  ☆54Updated 8 years ago
• luohongyin / bdfa-torch
  Training neural networks with back-prop, feedback-alignment and direct feedback-alignment
  ☆11Updated 8 years ago
• jhseu / nca
  Neighborhood Components Analysis in C++
  ☆38Updated 15 years ago
• TENGBINN / Bayes-by-Backprop
  TensorFlow implementation of Bayes-by-Backprop algorithm from "Weight Uncertainty in Neural Networks" paper
  ☆51Updated 6 years ago
• devnag / tensorflow-bptt
  Backpropagation-through-time library for TensorFlow
  ☆28Updated 7 years ago
• paulbertens / rank-ordered-autoencoder
  Rank Ordered Autoencoder implementation as described in https://arxiv.org/abs/1605.01749
  ☆33Updated 8 years ago
• jhjacobsen / HierarchicalCNN
  ☆29Updated 7 years ago
• outlace / outlace.github.io
  Machine learning and data science blog.
  ☆66Updated last year
• covartech / PRT
  Pattern Recognition Toolbox for MATLAB
  ☆146Updated 5 years ago
• pbrakel / anica
  Adversarial Non-linear Independent Component Analysis
  ☆50Updated 7 years ago
• rodrigosetti / dbn-cuda
  GPU accelerated Deep Belief Network
  ☆46Updated 9 years ago
• loliverhennigh / WassersteinGAN.tensorflow
  Tensorflow implementation of Wasserstein GAN - arxiv: https://arxiv.org/abs/1701.07875
  ☆21Updated 8 years ago
• thangbui / geepee
  A collection of Gaussian process models
  ☆30Updated 7 years ago
• neuropoly / gmseg
  Spinal cord gray matter segmentation using deep dilated convolutions.
  ☆45Updated 7 years ago
• stwisdom / urnn
  Code for paper "Full-Capacity Unitary Recurrent Neural Networks"
  ☆54Updated 7 years ago
• PedroCV / UFLDL-Tutorial-Solutions
  My Matlab code solutions to the famous UFLDL Tutorial. It includes all the proposed exercises.
  ☆18Updated 5 years ago
• QuantumLiu / matDL
  A lightweight MATLAB deeplearning toolbox,based on gpuArray.
  ☆54Updated 7 years ago
• jluttine / variational-bayes-book
  Open access book on variational Bayesian methods written collaboratively
  ☆28Updated 9 years ago
• abhaikollara / flare-archived
  A Keras inspired training utility for PyTorch
  ☆38Updated 6 years ago
• nitromannitol / stochastic-quasi-newton
  modular implementation of new algorithm
  ☆13Updated 10 years ago
• muupan / deep-ensemble-uncertainty
  An implementation of "Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles" (http://arxiv.org/abs/1612.01474)
  ☆34Updated 8 years ago
• snowkylin / rnn-vae
  Variational Autoencoder with Recurrent Neural Network based on Google DeepMind's "DRAW: A Recurrent Neural Network For Image Generation"
  ☆39Updated 8 years ago
• loliverhennigh / Early-Visual-Concept-Learning-Recreation-of-Some-Results
  Here is an implementation of some of a few results seen in Early Visual Concept Learning with Unsupervised Deep Learning
  ☆28Updated 8 years ago
• ramon-oliveira / aorun
  Deep Learning over PyTorch
  ☆61Updated 7 years ago
• locuslab / newton_admm
  A Newton ADMM based solver for Cone programming.
  ☆38Updated 7 years ago
• rvlasveld / oc_svm
  One-Class SVM implementations for temporal segmentation of human activities
  ☆54Updated 11 years ago
• the-moliver / kfs
  Keras for Science
  ☆72Updated 6 years ago
• stephenbeckr / SparsifiedKMeans
  KMeans for big data using preconditioning and sparsification, Matlab implementation. Aka k-means
  ☆59Updated 4 years ago
• PhDP / mlbop
  Matlab code for S. Theodoridis' "Machine Learning: A Bayesian and Optimization Perspective" (2015).
  ☆66Updated 6 years ago
• LucaAmbrogioni / GP-CaKe-project
  Bayesian Effective Connectivity
  ☆54Updated 6 years ago