Alternatives and similar repositories for neural_random_forests

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

• IBM / RandomWarpingSeries
  RandomWarpingSeries (RWS) is a simple code for generating the vector representation of time-series for time-series classification, cluste…
  ☆21Updated 6 years ago
• sumanyu / stacked-denoising-autoencoders
  sklearn wrappers for stacked denoising autoencoders
  ☆16Updated 9 years ago
• raj-shah / BayesianCNN
  Bayesian Convolutional Neural Networks with Bernoulli Approximate Variational Inference, Gal et al. 2015
  ☆36Updated 7 years ago
• sclincha / xrce_msda_da_regularization
  Regularized marginalized Stacked Denoising Autoencoders for Domain Adaptation
  ☆12Updated 8 years ago
• AnchorBlues / GroupLasso
  Group Lasso package for Python.
  ☆16Updated last year
• VahidooX / DeepLDA
  An implementation of Deep Linear Discriminant Analysis (DeepLDA) in Keras
  ☆41Updated 7 years ago
• titu1994 / keras-global-context-networks
  Keras implementation of Global Context Attention blocks
  ☆46Updated 6 years ago
• UBGewali / tutorial-UGM-hyperspectral
  A Tutorial on Modeling and Inference in Undirected Graphical Models for Hyperspectral Image Analysis
  ☆21Updated 7 years ago
• titu1994 / keras-SparseNet
  Keras Implementation of SparseNets
  ☆23Updated 7 years ago
• titu1994 / LSTM-FCN-Ablation
  Repository for the ablation study of "Long Short-Term Memory Fully Convolutional Networks for Time Series Classification"
  ☆54Updated 6 years ago
• Jianbo-Lab / CCM
  ☆74Updated 6 years ago
• sarlinpe / Concrete-Dropout
  A clean TensorFlow implementation of Concrete Dropout
  ☆22Updated 7 years ago
• ctgk / bayesnet
  Bayesian method library for Python
  ☆33Updated 6 years ago
• ushaham / RBMpaper
  experiments and datasets used for the paper "A Deep Learning Approach to Unsupervised Ensemble Learning"
  ☆20Updated 9 years ago
• thangbui / geepee
  A collection of Gaussian process models
  ☆30Updated 7 years ago
• zalandoresearch / probrnn
  State space modeling with recurrent neural networks
  ☆45Updated 7 years ago
• STO-OTZ / my_gcForest
  ☆34Updated 8 years ago
• TDeVries / fast_knn_gpu
  Tensorflow and Theano implementations of fast K-nearest neighbour search on GPU. ~3000x faster than sklearn KNeighborsClassifier!
  ☆18Updated 6 years ago
• RobRomijnders / VAE_rec
  Variational Recurrent Auto Encoder
  ☆15Updated 8 years ago
• airanmehr / cssvm
  Cost-Sensitive Support Vector Machines
  ☆33Updated 9 years ago
• kmi010 / Time-series-cluster-kernel-TCK-
  Matlab implementation of TCK
  ☆12Updated 5 years ago
• cvjena / libmaxdiv
  Implementation of the Maximally Divergent Intervals algorithm for Anomaly Detection in multivariate spatio-temporal time-series.
  ☆63Updated 4 years ago
• ramarlina / som
  Self-Organizing Map for unsupervised feature engineering and dimensionality reduction
  ☆21Updated 12 years ago
• tyler-tomita / RandomerForest
  Discriminant Projection Forest results, datasets, etc.
  ☆44Updated 5 years ago
• bperezorozco / ordinal_tsf
  ☆29Updated 5 years ago
• arjoly / random-output-trees
  Randomized output tree for multilabel / multi-output regression tasks
  ☆23Updated 9 years ago
• fraenkel-lab / GSLR
  An algorithm for classification from a graph-sparse support
  ☆15Updated 6 years ago
• fabianp / group_lasso
  ☆39Updated 12 years ago
• abrvkh / WaveNet_simple
  A simple implementation of the WaveNet model for time series forecasting
  ☆26Updated 7 years ago
• toantm / keras-bda
  A Bayesian Data Augmentation Approach for Learning Deep Models in Keras. Here is the link to a pytorch version: https://github.com/toant…
  ☆25Updated 7 years ago