JohannesMaxWel / neural_random_forests

Related projects ⓘ

Alternatives and complementary repositories for neural_random_forests

• mehmetgonen / bssml
  Bayesian (Semi-)Supervised Multilabel Learning
  ☆11Updated 6 years ago
• mollymr305 / mnist-mc-dropout
  model uncertainty using mc dropout
  ☆20Updated 5 years ago
• ramarlina / som
  Self-Organizing Map for unsupervised feature engineering and dimensionality reduction
  ☆21Updated 11 years ago
• kmi010 / Time-series-cluster-kernel-TCK-
  Matlab implementation of TCK
  ☆12Updated 5 years ago
• Jianbo-Lab / CCM
  ☆74Updated 5 years ago
• mollenhauerm / keras-temporal-autoencoder
  Keras framework for autocovariance-based dimensionality reduction of time series data with deep neural networks.
  ☆31Updated 6 years ago
• Kipok / clr_prediction
  ☆17Updated 5 years ago
• jjfeng / spinn
  Sparse-input neural networks
  ☆22Updated last year
• arjoly / random-output-trees
  Randomized output tree for multilabel / multi-output regression tasks
  ☆23Updated 8 years ago
• fuweijie / AER
  scalable active learning by approximated error reduction
  ☆11Updated 4 years ago
• sclincha / xrce_msda_da_regularization
  Regularized marginalized Stacked Denoising Autoencoders for Domain Adaptation
  ☆12Updated 7 years ago
• IBM / RandomWarpingSeries
  RandomWarpingSeries (RWS) is a simple code for generating the vector representation of time-series for time-series classification, cluste…
  ☆20Updated 5 years ago
• wenli-vision / svmplus_matlab
  An implementation of SVM+
  ☆26Updated 8 years ago
• raj-shah / BayesianCNN
  Bayesian Convolutional Neural Networks with Bernoulli Approximate Variational Inference, Gal et al. 2015
  ☆35Updated 6 years ago
• chcorbi / MultiTaskLearning
  Package to apply MTL on a few dataset
  ☆25Updated 7 years ago
• dssg / Random_Forest_Imputer
  Automatic missing value imputation using random forests
  ☆14Updated 9 years ago
• zalandoresearch / probrnn
  State space modeling with recurrent neural networks
  ☆42Updated 6 years ago
• sumanyu / stacked-denoising-autoencoders
  sklearn wrappers for stacked denoising autoencoders
  ☆16Updated 8 years ago
• cvjena / libmaxdiv
  Implementation of the Maximally Divergent Intervals algorithm for Anomaly Detection in multivariate spatio-temporal time-series.
  ☆61Updated 3 years ago
• dfagnan / QuantileRandomForestRegressor
  Python Implementation of Quantile Random Forest Regression
  ☆12Updated 10 years ago
• markvdw / GParML
  Distributed Variational Inference in Sparse Gaussian Process Regression and Latent Variable Models.
  ☆43Updated 10 years ago
• AaronYALai / Machine_Learning_and_Having_It_Deep_and_Structured
  (Theano) Implementations about deep neural network, recurrent neural network, LSTM, and structured learining.
  ☆10Updated 8 years ago
• thangbui / geepee
  A collection of Gaussian process models
  ☆30Updated 7 years ago
• UBGewali / tutorial-UGM-hyperspectral
  A Tutorial on Modeling and Inference in Undirected Graphical Models for Hyperspectral Image Analysis
  ☆21Updated 6 years ago
• joshloyal / RotationForest
  Implementation of the Rotation Forest by Rodriques et al. 2006
  ☆28Updated 9 months ago
• rmgarnett / active_gp_hyperlearning
  Active learning of GP hyperparameters following Garnett, et al., "Active Learning of Linear Embeddings for Gaussian Processes," (UAI 2014…
  ☆15Updated 7 years ago
• davidhallac / NetworkADMM
  ☆9Updated 9 years ago
• nlhepler / mrmr
  minimum Redundancy Maximum Relevance
  ☆21Updated 12 years ago
• airanmehr / cssvm
  Cost-Sensitive Support Vector Machines
  ☆33Updated 8 years ago
• yaringal / keras
  ☆12Updated 6 years ago