JBris

fastapi-react-graphql

Example of a simple FastAPI and React app using GraphQL

model-calibration-evaluation

Evaluating model calibration methods for sensitivity analysis, uncertainty analysis, optimisation, and Bayesian inference

multivariate_analysis_examples

Several examples of multivariate techniques implemented in R, Python, and SAS. Multivariate concrete dataset retrieved from https://archive.ics.uci.edu/ml/datasets/Concrete+Slump+Test. Credit to Professor I-Cheng Yeh.

nextflow-graph-machine-learning

A Nextflow pipeline demonstrating how to train graph neural networks for gene regulatory network reconstruction using DREAM5 data.

prefect-surrogate-models

Demonstrating the use of Prefect to orchestrate the creation of machine learning surrogate models as applied to mechanistic crop models.

react-typescript-graphql

A simple search tool to retrieve git repo information from GitHub, GitLab, and Bitbucket. Uses TypeScript and GraphQL for server-side API searches, and React.js for client-side rendering.

stan-cmdstanr-docker

A Docker image to run Stan, cmdstanr, and brms for Bayesian statistical modelling

time_series_anomaly_detection_examples

Several examples of anomaly detection algorithms for time series data.

vue-python-graphql

A simple search tool to retrieve git repo information from GitHub, GitLab, and Bitbucket. Uses aiohttp and Graphene for server-side API searches, and Vue.js for client-side rendering.

calisim

A toolbox for the calibration and evaluation of simulation models.

JBris/sir-agent-based-modelling

Agent-based modelling of pandemics using the Susceptible, Infected, Recovered (SIR) framework.

JBris/synthetic-control-pymc

Tutorials for the synthetic control method for causal inference using PyMC

JBris/physics_informed_neural_networks_tutorial

Going through the tutorial on Physics-informed Neural Networks: https://github.com/madagra/basic-pinn

JBris/bayes-growth-bdd

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

JBris/learn-kubernetes-basics

Going through the tutorials for learning the basics of Kubernetes

JBris/pymc-horseshoe

Horseshoe regression model fitted in PyMC.

JBris/pymc-mlflow-deployment

Testing deployment of PyMC models using MLFlow and BentoML.

JBris/apsimx-docker

Run APSIM The Next Generation using Docker

JBris/docker-clickhouse-postgres

Docker setup for ClickHouse and Postgres

JBris/docker-metabase-postgres

Docker setup for Metabase and Postgres

JBris/docker-spark-sparklyr

Docker setup for Apache Spark and the R sparklyr package

JBris/plumber-api-set-user

JBris/pymc_ode

Going through the tutorials for integrating PyMC with ODEs

JBris/r-plumber-tutorials

Going through the tutorials for working with the Plumber package in R for developing web APIs: https://www.rplumber.io/

JBris/seaweedfs-s3-trial

Testing out SeaweedFS for s3 storage. Particularly for MLOps purposes.

JBris/shiny-app-tutorials

Working through tutorials for developing Shiny apps

JBris/time-series-airflow-kafka-spark

A simple demonstration of an Airflow-Kafka-Spark (AKS) stack for online time series forecasting.

JBris/time-series-online-data-assimilation-experiments

Experiments for online learning and data assimilation for time series data.

JBris/ApsimX

ApsimX is the next generation of APSIM

JBris/deepgp_eval

Evaluating Deep Gaussian processes

JBris/hypothesis-property-based-testing

Trying out the hypothesis library for property-based testing

JBris/mlflow-bentoml-integration

Testing the integration of MLFlow and BentoML

JBris/pluggy-test-python

Testing the Pluggy Python library and creating a composable pipeline.

JBris/pycaret-fugue-dask-test

Testing PyCaret, Fugue, and Dask

JBris/python_data_profiler_comparison

Comparison between several Python data profile libraries.

JBris/r-packages-ebook

Working through the R Packages ebook: https://r-pkgs.org/

JBris/SVSModelBuildDeploy

JBris/apsimx-srf

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

JBris/minio_deploy

Docker deployment for MinIO

JBris/rPackageDemoGeostats

Demonstration of a simple R package. In the example here, we support a few geostatistical methods.