jbris Goto Github PK

abcpy

ABCpy package

abcpy-models

age-underestimation

Repository for Harry (2018) Fish and Fisheries

alibi

Algorithms for explaining machine learning models

angular_data_visualisation

An exploration of data visualization methods using Angular.

apsim.singularity

apsimx

ApsimX is the next generation of APSIM

apsimx-docker

Run APSIM The Next Generation using Docker

apsimx-srf

Singularity recipe files for ApsimX (https://github.com/APSIMInitiative/ApsimX)

auto-apsim-singularity

Automatically build Apptainer images for APSIM

bash-templater

Very simple templating system that replace {{VAR}} by $VAR environment value, supports defines

bats-core

Bash Automated Testing System

bayes-growth-bdd

Demonstrating the use of behavior-driven development (BDD) to Bayesian growth models for assumption tracking.

bayesian-neural-networks

Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more

bayesianstatistics

Code associated with my course on Bayesian Statistics

bnn_priors

Code for the paper "Bayesian Neural Network Priors Revisited"

buildingenergygeeks

Bringing building energy simulation and statistical learning together

carefl

Code for "Causal autoregressive flows" - AISTATS, 2021

casal2

Integrated Population Dynamics Model (Casal2)

causalml

Uplift modeling and causal inference with machine learning algorithms

cermine

Content ExtRactor and MINEr

chatterbot

ChatterBot is a machine learning, conversational dialog engine for creating chat bots

climate-change-01

cluster_analysis_examples

Several cluster analysis algorithm examples.

cnn-surrogate

Bayesian deep convolutional encoder-decoder networks for surrogate modeling and uncertainty quantification

compose-elasticsearch

Docker compose for deploying Elasticsearch.

compose-jenkins

Docker compose for deploying Jenkins

compose-mongodb

Docker configuration for running MongoDB locally

conformal

Tools for conformal inference in regression

contour-stochastic-gradient-langevin-dynamics

An elegant adaptive importance sampling algorithms for simulations of multi-modal distributions (NeurIPS'20)