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

Statistical Machine Intelligence & Learning Engine

An Engine-Agnostic Deep Learning Framework in Java

A machine learning software for extracting information from scholarly documents

Serve, optimize and scale PyTorch models in production

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.

🔥🔥🔥Java免费离线AI算法工具箱，支持人脸识别，活体检测，表情识别、目标检测、实例分割、行人检测、OCR文字识别、车牌识别、表格识别、ASR+TTS、机器翻译等功能，Maven引用即可使用。支持PyTorch、Tensorflow，已集成 Mtcnn、InsightFace、SeetaFace6、YOLOv8~v12、PaddleOCR(PPOCRv5)、Whisper等主流模型

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)

Face Recognition, Face Liveness Detection, Face Anti-Spoofing, Face Detection, Face Landmarks, Face Compare, Face Matching, Face Pose, Face Expression, Face Attributes, Face Templates Extraction, Face Landmarks

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.