Alternatives and similar repositories for RBFnet

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

• rodrigosetti / dbn-cuda
  GPU accelerated Deep Belief Network
  ☆47Updated 10 years ago
• TENGBINN / Bayes-by-Backprop
  TensorFlow implementation of Bayes-by-Backprop algorithm from "Weight Uncertainty in Neural Networks" paper
  ☆51Updated 6 years ago
• paulbertens / rank-ordered-autoencoder
  Rank Ordered Autoencoder implementation as described in https://arxiv.org/abs/1605.01749
  ☆33Updated 9 years ago
• lucastheis / deepbelief
  Code for training and evaluating restricted Boltzmann machines (RBMs) and deep belief networks (DBNs).
  ☆61Updated 14 years ago
• omimo / xRBM
  Implementation of Restricted Boltzmann Machine (RBM) and its variants in Tensorflow
  ☆55Updated 7 years ago
• RyotaKatoh / chainer-Variational-Recurrent-Autoencoder
  ☆19Updated 10 years ago
• jhjacobsen / HierarchicalCNN
  ☆29Updated 7 years ago
• HUJI-Deep / Generative-ConvACs
  Experiments from the article "Tensorial Mixture Models"
  ☆25Updated 7 years ago
• locuslab / newton_admm
  A Newton ADMM based solver for Cone programming.
  ☆39Updated 8 years ago
• yandexdataschool / sklearn-deeprl
  Deep reinforcement learning. In scikit-learn. In less than 50 effective lines.
  ☆54Updated 8 years ago
• jhseu / nca
  Neighborhood Components Analysis in C++
  ☆38Updated 15 years ago
• ili3p / HORD
  Efficient Hyperparameter Optimization of Deep Learning Algorithms Using Deterministic RBF Surrogates
  ☆115Updated 8 years ago
• ritchieng / wideresnet-tensorlayer
  Wide Residual Networks implemented in TensorLayer and TensorFlow.
  ☆44Updated 8 years ago
• jayhack / LSTMVRAE
  Variational Recurrent Auto-Encoder using LSTM encoder/decoder networks
  ☆55Updated 9 years ago
• bigsnarfdude / SELU_Keras_Tutorial
  Keras based Tutorials and implementations for "Self-normalizing networks" - new activation function SELU
  ☆48Updated 3 years ago
• abhaikollara / flare-archived
  A Keras inspired training utility for PyTorch
  ☆38Updated 7 years ago
• ramarlina / som
  Self-Organizing Map for unsupervised feature engineering and dimensionality reduction
  ☆21Updated 12 years ago
• cosmoharrigan / neuroevolution
  Neuroevolution as a direct policy search deep reinforcement learning method, implemented using Keras and DEAP.
  ☆71Updated 4 years ago
• fraenkel-lab / GSLR
  An algorithm for classification from a graph-sparse support
  ☆15Updated 6 years ago
• svishnu88 / pytorch
  All My Pytorch projects reside here
  ☆33Updated 7 years ago
• pbrakel / anica
  Adversarial Non-linear Independent Component Analysis
  ☆50Updated 8 years ago
• drumichiro / nmf-and-ntf
  The sample code to study non-negative matrix and tensor factorization.
  ☆38Updated 5 years ago
• rvlasveld / oc_svm
  One-Class SVM implementations for temporal segmentation of human activities
  ☆54Updated 11 years ago
• snap-stanford / snapvx
  ☆65Updated 5 years ago
• dillonalaird / pysvihmm
  Implementation of stochastic variational inference for Bayesian hidden Markov models.
  ☆68Updated 8 years ago
• kyunghyuncho / deepmat
  Matlab Code for Restricted/Deep Boltzmann Machines and Autoencoders
  ☆191Updated 10 years ago
• Islandman93 / reinforcepy
  Collection of reinforcement learners implemented in python. Mainly including DQN and its variants
  ☆54Updated 8 years ago
• carpedm20 / RCMN
  Recurrent Convolutional Memory Network (in progress)
  ☆28Updated 9 years ago
• dustinstansbury / medal
  Matlab Environment for Deep Architecture Learning
  ☆109Updated 11 years ago
• jngiam / sparseFiltering
  Sparse Filtering
  ☆219Updated 13 years ago