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.
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
Stanford CoreNLP: A Java suite of core NLP tools.
Plugin to integrate Learning to Rank (aka machine learning for better relevance) with Elasticsearch
PipelineAI Kubeflow Distribution
Java Statistical Analysis Tool, a Java library for Machine Learning
Oryx 2: Lambda architecture on Apache Spark, Apache Kafka for real-time large scale machine learning
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.