Thorsten Heimes's repositories
Algorithms-in-a-Nutshell
The Java part of https://github.com/heineman/algorithms-nutshell-2ed
bucket-stream
Find interesting Amazon S3 Buckets by watching certificate transparency logs.
checklist-going-live
The checklist that is used when a project is going live
cookiecutter-data-science
A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.
data-algorithms-book
MapReduce, Spark, Java, and Scala for Data Algorithms Book
data-forge-js
JavaScript data transformation and analysis toolkit inspired by Pandas and LINQ.
docToolchain
a Gradle based AsciiDoc Toolchain for Software Architecture Documentation
feature-engineering-book
Code repo for the book "Feature Engineering for Machine Learning," by Alice Zheng and Amanda Casari, O'Reilly 2018
introduction_to_ml_with_python
Notebooks and code for the book "Introduction to Machine Learning with Python"
javaone-challenges
See all the challenges presented at JavaOne and find out the concepts behind the scenes!
ml-training-advanced
Materials for the "Advanced Scikit-learn" class in the afternoon
nifi-tensorflow-processor
Example Tensorflow Processor using Java API for Apache NiFi 1.2+
NifiHelloWorld
Apache Nifi Hello World Example
pydata_attendance_analysis_talk
Hi, everyone!
pydata_talk
A notebook and some resources I used at the PyData Munich meetup talk.
PyDataPandasTalk
A short tutorial given on Pandas and Seaborn at PyData Munich in October 2017
pydatatutorial
PyData tutorial, 3.5.2018 Munich
PythonDataScienceHandbook
Jupyter Notebooks for the Python Data Science Handbook
rasa_core
machine learning based dialogue engine for conversational software
scala_school
Lessons in the Fundamentals of Scala
snippetbox
from alexedwards book let's go
TensorFlow-Book
Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.
transform-www
Transform JS objects to get something useful
useful-java-links
A list of useful Java frameworks, libraries, software and hello worlds examples
Visualizing-Convnets
How to build convolutional neural networks from scratch w/ Tensorflow