Java / Machine Learning
MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville
A machine learning software for extracting information from scholarly documents
Open Source Fast Scalable Machine Learning Platform For Smarter Applications: Deep Learning, Gradient Boosting & XGBoost, Random Forest, Generalized Linear Modeling (Logistic Regression, Elastic Net), K-Means, PCA, Stacked Ensembles, Automatic Machine Learning (AutoML), etc.
Plugin to integrate Learning to Rank (aka machine learning for better relevance) with Elasticsearch
PipelineAI Kubeflow Distribution
MALLET is a Java-based package for statistical natural language processing, document classification, clustering, topic modeling, information extraction, and other machine learning applications to text.
The target is to set up a high quality and real-time image process and machine learning library which is implemented in pure java. The framework can run application on java desktop and android platform.
Oryx 2: Lambda architecture on Apache Spark, Apache Kafka for real-time large scale machine learning