Angel, a graduate LF AI Foundation project, is a high-performance distributed machine learning platform for enterprise applications, and was originally developed and open-sourced by Tencent.
It provides full-stack facilities for feature engineering, model building, parameters turning, model serving, and AutoML, including algorithms like statistical learning, neural networks and graph computing. The mass adoption of Angel in Tencent demonstrates its advantages in training super higher dimension models even with billions of features. Angel offers several deployment options such as Docker, Yarn and Kubernetes, making it a reliable and efficient solution to machine learning applications for enterprises. We encourage you to download and read the latest paper on Angel covering the latest major release 3.0.