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AE_ts
Auto encoder for time seriesLSTM_tsc
An LSTM for time-series classificationweight_uncertainty
Implementing Bayes by BackpropCNN_tsc
A CNN for time-series classificationRNN_basketball
LSTM + MDN for basketball trajectoriesbigclam
Implements the bigCLAM algorithmssl_graph
Semi supervised learning on graphsbayes_nn
Uncertainty interpretations of the neural networkcnn_music
A CNN for music genre classification and TSC in generalbandit
Implementation of Counterfactual risk minimizationsegm
Simple Semantic SegmentationVAE_rec
Variational Recurrent Auto EncoderEM
visualizing Expectation Maximizationvi_normal
Variational Inference for a Normal Distributiontensorflow_basic
Basic start of TensorFlow with TensorBoardEDS
Github Repo for Eindhoven Data Science MeetUpdan
Domain Agnostic Normalization layer for Unsupervised Domain Adaptationattention
An elementary example of soft attentionts_clust
WIP to cluster time seriesladder
LADDER network after Harri ValpolaLSTM_cpd
LSTM for change point detectiondpm
Dirichlet Process Mixturesssl
Implementation of self ensembling for semi supervised learningoverview
Overview diagram and lists of Machine Learningawesome_distributions
Scribbles about marginalization property of Gaussian and aggregation property of Dirichletcs231n
Files for the cs231n course at StanfordFCN
Fully Convolutional Networkrbm
Restricted Boltzmann Machineoccam
Implementing Occam's razor from the Statistical and Bayesian views.indian_buffet
Indian buffet latent variable modelRAM
Recurrent Attention ModelVAE
Variational Auto encoderDRAW
DRAWrbfn_learnable
RBFN with learnable RBF parametersssl_rep
Combining insights from representation learning and semi supervised learningbbvi
Comparing variance of gradient estimators for BBVIq_learning
Implementation of epsilon-greedy q-learning for robot on 2D gridmcmc_proposals
Compare different proposal distro's for MCMChypothesis_testing
Project on hypothesis testingbayesian_model_comparison
Three approaches for Bayesian model comparisonRBFN_two_MNIST
Radial basis function network for two classes of the MNIST datasetfar_away
Exploring linear classifiers on inputs far away from the training datadpbmm
Dirichlet Process Mixture model for Multinoulli distributionshacking_180824
hacking_180824trees_ensemble
This projects aggregates a Bagging, Random Forest and MLP classifier for data competitiontalks
repo for my talksLove Open Source and this site? Check out how you can help us