Java / Machine Learning
MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville
H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.
A machine learning software for extracting information from scholarly documents
Plugin to integrate Learning to Rank (aka machine learning for better relevance) with Elasticsearch
Oryx 2: Lambda architecture on Apache Spark, Apache Kafka for real-time large scale machine learning
PipelineAI Kubeflow Distribution
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.
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.
Easy Machine Learning is a general-purpose dataflow-based system for easing the process of applying machine learning algorithms to real world tasks.