David Sabater Dinter's starred repositories
styleguide
Style guides for Google-originated open-source projects
tensor2tensor
Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.
argo-workflows
Workflow Engine for Kubernetes
python-docs-samples
Code samples used on cloud.google.com
interpretable-ml-book
Book about interpretable machine learning
spark-on-k8s-operator
Kubernetes operator for managing the lifecycle of Apache Spark applications on Kubernetes.
cloudml-samples
Cloud ML Engine repo. Please visit the new Vertex AI samples repo at https://github.com/GoogleCloudPlatform/vertex-ai-samples
data-science-on-gcp
Source code accompanying book: Data Science on the Google Cloud Platform, Valliappa Lakshmanan, O'Reilly 2017
etl-with-airflow
ETL best practices with airflow, with examples
kube-airflow
A docker image and kubernetes config files to run Airflow on Kubernetes
Azure-TDSP-ProjectTemplate
TDSP: Data science project template repository with standardized directory structure and document templates to support efficient project execution and collaboration.
Microsoft-TDSP
Repository for Microsoft Team Data Science Process containing documents and scripts
CompFinance
Companion code for "Modern Computational Finance: AAD and Parallel Simulations" (Antoine Savine, Wiley, 2018)
VAE-Tensorflow
(beta-)VAE Tensorflow
tf-quant-finance
High-performance TensorFlow library for quantitative finance.