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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 serieshypothesis_kalman
Hypothesis testing for time series: two buckets are from same source or different?ladder
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 Machineindian_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