eggplantbren
Senior lecturer in statistics at the University of Auckland, New Zealand. I work on Bayesian Inference and related topics.
The University of AucklandAuckland, New Zealand
eggplantbren's Stars
lbryio/lbry-sdk
The LBRY SDK for building decentralized, censorship resistant, monetized, digital content apps.
lbryio/lbry-desktop
A browser and wallet for LBRY, the decentralized, user-controlled content marketplace.
lbryio/lbrycrd
The blockchain that provides the digital content namespace for the LBRY protocol
OdyseeTeam/chainquery
Chainquery parses and syncs the LBRY blockchain data into structured SQL
SRombauts/SQLiteCpp
SQLiteC++ (SQLiteCpp) is a smart and easy to use C++ SQLite3 wrapper.
lbryio/torba
Torba makes it easy to create fast and correct bitcoin based crypto wallets.
tssm/up-to-date-real-world-haskell
I'm trying to update the Real World Haskell book
mig/gedit-themes
Color themes for Gnome's default editor Gedit
btzr-io/Villain
A free and open source web-based comic book reader.
ekmett/approximate
Approximate discrete values and numbers
belikor/lbrydseed
Graphical interface to download, seed, and manage content from the LBRY network
lbryio/herald.go
RuthAngus/HBM_tutorial
A tutorial on Hierarchical Bayesian Modelling
j-faria/kima
Exoplanet detection in RVs with DNest4 and GPs
LeahPrice/SMC-NS
Unbiased and Consistent Nested Sampling via Sequential Monte Carlo
NicoleRadziwill/Data-for-R-Examples
tmelliott/TransitNetworkModel
A realtime model of the Auckland Public Transport Network
BEAST2-Dev/nested-sampling
Nested sampling packagin for BEAST
EPRV3EvidenceChallenge/Inputs
Input Data & Model for the EPRV3 Evidence Challenge - Start Here
JohannesBuchner/massivedatans
Big Data vs. complex physical models - a scalable nested sampling inference algorithm for many data sets
Blanxs/LBRYFileUploader
abueide/hs-ipfs-api
IPFS HTTP Bindings for Haskell
klee61/BRG
j-faria/styler
Publication-ready matplotlib plots
davidwhogg/ObsDec
Making real-time observing decisions based on expected future-discounted information gains
dfm/rvhmc
nzsaurabh/PredictSubscribers
Researching on a Bayesian method to predict online subscribers. The project is at an initial stage - experimenting with MCMC and Nested Sampling
OllieSteves/Masters-Cricket
Cricket models developed during Masters degree
timchenn/Master-Dissertation-DNest4-Builder
tloredo/astrodata