Pinned Repositories
ABC
alexanderbuchholz.github.io
cudss_workshops
the workshop of the cambridge university data science society
David-Silver-Reinforcement-learning
Notes for the Reinforcement Learning course by David Silver along with implementation of various algorithms.
distbayesianmc
distributed bayesian computation package
elfi_qmc
ABC using QMC using elfi and the particles package
formation_utt_python
Formation du master spe data science à l'UTT
formation_utt_spark
Cours spark de l'UTT
hmc_ev
Hamiltonian Monte Carlo for Wishart distributions with eigenvalue constraints
hsmc
hsmc
alexanderbuchholz's Repositories
alexanderbuchholz/hsmc
hsmc
alexanderbuchholz/cudss_workshops
the workshop of the cambridge university data science society
alexanderbuchholz/ABC
alexanderbuchholz/David-Silver-Reinforcement-learning
Notes for the Reinforcement Learning course by David Silver along with implementation of various algorithms.
alexanderbuchholz/distbayesianmc
distributed bayesian computation package
alexanderbuchholz/elfi_qmc
ABC using QMC using elfi and the particles package
alexanderbuchholz/hmc_ev
Hamiltonian Monte Carlo for Wishart distributions with eigenvalue constraints
alexanderbuchholz/alexanderbuchholz.github.io
alexanderbuchholz/formation_utt_python
Formation du master spe data science à l'UTT
alexanderbuchholz/formation_utt_spark
Cours spark de l'UTT
alexanderbuchholz/bayesian-optimization
Python code for bayesian optimization using Gaussian processes
alexanderbuchholz/cudssnnet
CUDSS Neural Network Workshop
alexanderbuchholz/driven_data
driven_data
alexanderbuchholz/reproducible-research
last built version online at:
alexanderbuchholz/tensorflow
Computation using data flow graphs for scalable machine learning
alexanderbuchholz/tlnise
Two-level normal independent sampling estimation
alexanderbuchholz/tpx
tp X