MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville

Statistical Machine Intelligence & Learning Engine

Serve, optimize and scale PyTorch models in production

An Engine-Agnostic Deep Learning Framework in Java

A machine learning software for extracting information from scholarly documents

Deep Learning (Python, C, C++, Java, Scala, Go)

Machine Learning Platform and Recommendation Engine built on Kubernetes

Android TensorFlow MachineLearning Example (Building TensorFlow for Android)

Tribuo - A Java machine learning library

Multi Model Server is a tool for serving neural net models for inference

This project contains examples which demonstrate how to deploy analytic models to mission-critical, scalable production environments leveraging Apache Kafka and its Streams API. Models are built with Python, H2O, TensorFlow, Keras, DeepLearning4 and other technologies.

Android TensorFlow Lite Machine Learning Example

TonY is a framework to natively run deep learning frameworks on Apache Hadoop.

Submarine is Cloud Native Machine Learning Platform.

Deep Learning on Flink aims to integrate Flink and deep learning frameworks (e.g. TensorFlow, PyTorch, etc) to enable distributed deep learning training and inference on a Flink cluster.

dl4j 基础教程 配套视频：https://space.bilibili.com/327018681/#/

Android TensorFlow MachineLearning MNIST Example (Building Model with TensorFlow for Android)

An android library that uses technologies like artificial Intelligence, machine learning, and deep learning to make developers understand the content that they are displaying in their app.

HMS ML Demo provides an example of integrating Huawei ML Kit service into applications. This example demonstrates how to integrate services provided by ML Kit, such as face detection, text recognition, image segmentation, asr, and tts.

Deep Learning UDF for KSQL for Streaming Anomaly Detection of MQTT IoT Sensor Data