fmannhardt

course-applied-processmining

Introduction to Applied Process Mining with Python and R notebooks.

starter-predictive-process-monitoring

Project structure and initial code for predictive process monitoring with PM4Py and PyTorch.

processmapR

R package for creating process maps

graphql-kafka-subscriptions

Apollo graphql subscriptions over Kafka protocol

pddp

Process Discovery with Differential Privacy

bama

Algorithm to identify batching behavior in an event log (both at the task-resource and at the subprocess level)

barracuda-release

cloudml

R interface to Google Cloud Machine Learning Engine

dgl

Python package built to ease deep learning on graph, on top of existing DL frameworks.

eventgraph_tutorial

A collection of tutorials for using Cypher and Neo4j for creating, querying, analyzing, and doing process mining with event knowledge graphs.

events

Github Pages for events, forked from mmistakes/minimal-mistakes

f.mannhardt.net

A constantly evolving and thoughtful architecture for creating static blogs.

fmannhardt.de

My personal website & blog

keras

Deep Learning for humans

keras-onnx

Convert Keras models to ONNX

NSwag

The Swagger/OpenAPI toolchain for .NET, ASP.NET Core and TypeScript.

plotly.js

Open-source JavaScript charting library behind Plotly and Dash

pm4py-source

Public repository for the PM4Py (Process Mining for Python) project.

processmining-js

quantification_reidentification_risk_process_models

rocker-versioned2

shinyproxy-config-examples

Configuration examples for ShinyProxy

shinyWidgets

shinyWidgets : Extend widgets available in shiny

superset

Apache Superset is a Data Visualization and Data Exploration Platform

tpsie

TPSIE workshop website

Transfer-Learning-for-Predictive-Process-Monitoring

The models necessary for replacting the results in the title-mentioned paper

trimesh

Python library for loading and using triangular meshes.

website

xml2

Bindings to libxml2

yolov3

YOLOv3 in PyTorch > ONNX > CoreML > TFLite