aps's starred repositories
abap-platform-trial-image
End user documentation for ABAP Platform Trial image
professional-programming
A collection of learning resources for curious software engineers
build-codejam
This repository contains the material for the CodeJam on using SAP Build to create a process, an app, and a business site.
portfolio-ideas
A curation of awesome portfolio website ideas for developers and designers to draw inspiration from. Raise a pull request to add more. 💜
awesome-machine-learning
A curated list of awesome Machine Learning frameworks, libraries and software.
btp-azure-opensap
Exercises and sample code for the openSAP course "Building Applications on SAP BTP with Microsoft Services"
awesome-fastai
A curated list of awesome fastai projects/blog posts/tutorials/etc.
cai-book-sample
Endpoint used in the SAP Conversational AI E-Bite book from SAP PRESS. The sample code provides an example for the implementation of the Bot Logic component using MongoDB and NodeJS.
teched2020-developer-keynote
SAP TechEd 2020: Developer Keynote
Adv_Fin_ML_Exercises
Experimental solutions to selected exercises from the book [Advances in Financial Machine Learning by Marcos Lopez De Prado]
contextual-ai
Contextual AI adds explainability to different stages of machine learning pipelines - data, training, and inference - thereby addressing the trust gap between such ML systems and their users. It does not refer to a specific algorithm or ML method — instead, it takes a human-centric view and approach to AI.
applied-ml
📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
python-machine-learning-book-3rd-edition
The "Python Machine Learning (3rd edition)" book code repository
PythonDataScienceHandbook
Python Data Science Handbook: full text in Jupyter Notebooks
handson-ml2
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
deep-learning-with-python-notebooks
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
homemade-machine-learning
🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained
Hands-on-Machine-Learning-with-Scikit-Learn-Keras-and-TensorFlow
Notes & exercise solutions of Part I from the book: "Hands-On ML with Scikit-Learn, Keras & TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems" by Aurelien Geron