dsteinberg

I am a senior research scientist at CSIRO (Data61). I research and implement machine learning algorithms and systems.

CSIRO (Data61)Canberra, Australia

Pinned Repositories

landshark
Large-scale spatial inference with Tensorflow.
Language:Python10 5 511
aboleth-talk
Dev talk on Aboleth
Language:TeX1 1 00
applied-fp-course
Language:Haskell0 1 00
carbon
Carbon prediction test
Language:Python0 3 01
imdescrip
A collection of python tools for extracting descriptors from images (whole and sub-image descriptors).
Language:Python17 2 17
libcluster
An extensible C++ library of Hierarchical Bayesian clustering algorithms, such as Bayesian Gaussian mixture models, variational Dirichlet processes, Gaussian latent Dirichlet allocation and more.
Language:C++140 11 922
uncover-ml
Machine Learning system for Geoscience Australia uncover project
Language:Jupyter Notebook30 17 9520
aboleth
A bare-bones TensorFlow framework for Bayesian deep learning and Gaussian process approximation
Language:Python127 12 14310
twostageridge
Two stage ridge regression for less-biased causal inference
Language:Jupyter Notebook3 4 60
revrand
A library of scalable Bayesian generalised linear models with fancy features
Language:Python58 20 12114

dsteinberg/libcluster
An extensible C++ library of Hierarchical Bayesian clustering algorithms, such as Bayesian Gaussian mixture models, variational Dirichlet processes, Gaussian latent Dirichlet allocation and more.
Language:C++140 11 922
dsteinberg/imdescrip
A collection of python tools for extracting descriptors from images (whole and sub-image descriptors).
Language:Python17 2 17
dsteinberg/aboleth-talk
Dev talk on Aboleth
Language:TeX1 1 00
dsteinberg/applied-fp-course
Language:Haskell0 1 00
dsteinberg/carbon
Carbon prediction test
Language:Python0 3 01
dsteinberg/DIPA-validation
Material for the DIPA workshop on model validation, uncertainty and imputation
Language:Jupyter Notebook1 0
dsteinberg/dsteinberg.github.io
Personal Homepage
Language:CSS1 0
dsteinberg/fp-course
Functional Programming Course
Language:Haskell1 0
dsteinberg/linearizedGP
Gaussian processes with general nonlinear likelihoods using the unscented transform or Taylor series linearisation.
Language:Python0 0
dsteinberg/nips2014paper
Extended and Unscented Gaussian Processes
Language:TeX1 0
dsteinberg/nips2014poster
NIPS 2014 Poster on "extended and unscented Gaussian Processes"
Language:TeX2 01
dsteinberg/pelican-bibtex
pelican-bibtex: Manage your academic publications page with Pelican and BibTeX
Language:Python1 01
dsteinberg/pelican-bootstrap3
Bootstrap 3 theme for Pelican
Language:CSS1 0