Setup and manage header bidding advertising partners without writing code or confusing line items. Prebid.js is open source and free.

The open and composable observability and data visualization platform. Visualize metrics, logs, and traces from multiple sources like Prometheus, Loki, Elasticsearch, InfluxDB, Postgres and many mo…

TuShare is a utility for crawling historical data of China stocks

The source for REST API specifications for Microsoft Azure.

Kats, a kit to analyze time series data, a lightweight, easy-to-use, generalizable, and extendable framework to perform time series analysis, from understanding the key statistics and characteristi…

An intuitive library to extract features from time series.

A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)

Azure Quickstart Templates

Scripts and resources to accomplish common scenarios with Azure Health Data Services

🐬 Apache Parquet for modern .Net

A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning …

Synthetic Patient Population Simulator

High Performance Inter-Thread Messaging Library

Ultra-fast matching engine written in Java based on LMAX Disruptor, Eclipse Collections, Real Logic Agrona, OpenHFT, LZ4 Java, and Adaptive Radix Trees.

An unidentifiable mechanism that helps you bypass GFW.

Hands-on Deep Reinforcement Learning, published by Packt

Port of LMAX Disruptor to C++

A service that implements the FHIR standard

Deep Learning for Stock Market

Azure Container Registry samples, troubleshooting tips and references

Set of tools for helping with data (in FHIR format) anonymization.

A Collection of Variational Autoencoders (VAE) in PyTorch.

PyTorch implementation of the U-Net for image semantic segmentation with high quality images