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Meta’s Anonymous Credential Service (ACS) is designed to enable it to authenticate users in a “de-identified manner,” permitting access to services without gathering any data that could be used to identify the subject’s identity.
Addressbook example protobuf for ProtobufUtility
Advanced Python tutorials for Data Nerds
Apache Airflow
Products We Think You Might Like: Generating Personalized Recommendations Using Matrix Factorization
Scala Scripting
ARX is a comprehensive open source data anonymization tool aiming to provide scalability and usability. It supports various anonymization techniques, methods for analyzing data quality and re-identification risks and it supports well-known privacy models, such as k-anonymity, l-diversity, t-closeness and differential privacy.
In-memory dimensional time series database.
An experimental open-source attempt to make GPT-4 fully autonomous.
Apache Avro
A curated list of data mining papers about fraud detection.
End-to-end Azure Databricks Workspace automation with Azure Pipelines
Client library for Azure Databricks
Azure Databricks MLOps sample for Python based source code using MLflow without using MLflow Project.
Enabling Continuous Data Processing with Apache Spark and Azure Event Hubs
Azure SQL and Databricks samples and best practices for loading data quickly and efficiently
Version 1 of Technical Best Practices of Azure Databricks based on real world Customer and Technical SME inputs
Orchestrate microservice-based process flows
Pythonic Bayesian Belief Network Package, supporting creation of and exact inference on Bayesian Belief Networks specified as pure python functions.
Unified programming model to create a data processing pipelines for batch and streaming models
Bistro is a flexible distributed scheduler, a high-performance framework supporting multiple paradigms while retaining ease of configuration, management, and monitoring.
Breeze is a numerical processing library for Scala.
Burn is a new comprehensive dynamic Deep Learning Framework built using Rust with extreme flexibility, compute efficiency and portability as its primary goals.
Caffe: a fast open framework for deep learning
Caffe2 is a lightweight, modular, and scalable deep learning framework
Apache Calcite