RobRomijnders
Federated learning PhD @ UvA, previously AI resident @ Google Brain
Amsterdam, Netherlands
Pinned Repositories
AE_ts
Auto encoder for time series
bayes_nn
Uncertainty interpretations of the neural network
bigclam
Implements the bigCLAM algorithm
cnn_music
A CNN for music genre classification and TSC in general
CNN_tsc
A CNN for time-series classification
LSTM_tsc
An LSTM for time-series classification
RNN_basketball
LSTM + MDN for basketball trajectories
ssl_graph
Semi supervised learning on graphs
VAE_rec
Variational Recurrent Auto Encoder
weight_uncertainty
Implementing Bayes by Backprop
RobRomijnders's Repositories
RobRomijnders/AE_ts
Auto encoder for time series
RobRomijnders/weight_uncertainty
Implementing Bayes by Backprop
RobRomijnders/bigclam
Implements the bigCLAM algorithm
RobRomijnders/dan
Domain Agnostic Normalization layer for Unsupervised Domain Adaptation
RobRomijnders/hypothesis_kalman
Hypothesis testing for time series: two buckets are from same source or different?
RobRomijnders/ts_clust
WIP to cluster time series
RobRomijnders/overview
Overview diagram and lists of Machine Learning
RobRomijnders/indian_buffet
Indian buffet latent variable model
RobRomijnders/occam
Implementing Occam's razor from the Statistical and Bayesian views.
RobRomijnders/bayesian_model_comparison
Three approaches for Bayesian model comparison
RobRomijnders/bbvi
Comparing variance of gradient estimators for BBVI
RobRomijnders/hypothesis_testing
Project on hypothesis testing
RobRomijnders/mcmc_proposals
Compare different proposal distro's for MCMC
RobRomijnders/ssl_rep
Combining insights from representation learning and semi supervised learning
RobRomijnders/bert-as-service
Mapping a variable-length sentence to a fixed-length vector using BERT model
RobRomijnders/dna
DNA: Differential Privacy Neural Augmentation for Contact Tracing
RobRomijnders/dpfn_aaai
Code for AAAI 2023 paper 'Protect Your Score'
RobRomijnders/dpfn_cpp
C++ implementation of the DPFN method for differentially private statistical contact tracing
RobRomijnders/dplp
Deep Private Link Prediction
RobRomijnders/gpytorch
A highly efficient and modular implementation of Gaussian Processes in PyTorch
RobRomijnders/GrouPy
Group Equivariant Convolutional Neural Networks
RobRomijnders/kpca_gplvm
Project exploring differences in kernel PCA and GP LVM
RobRomijnders/OpenABM-Covid19
make pull request for pydecref
RobRomijnders/random
random repo for all random randomness
RobRomijnders/readme2tex
Renders TeXy Math for Github Readmes
RobRomijnders/robromijnders.github.io
Github page
RobRomijnders/santa20
Santa 2020 challenge on Kaggle
RobRomijnders/scikit-learn
scikit-learn: machine learning in Python
RobRomijnders/squashing
Small exploration of squashing the Gaussian Process
RobRomijnders/wandb-client
🔥 A tool for visualizing and tracking your machine learning experiments. This repo contains the CLI and Python API.