MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville...
A Flexible and Powerful Parameter Server for large-scale machine learning
Alluxio, data orchestration for analytics and machine learning in the cloud
Alink is the Machine Learning algorithm platform based on Flink, developed by the PAI team of Alibaba computing platform....
Easy Machine Learning is a general-purpose dataflow-based system for easing the process of applying machine learning algorithms to real world tasks....
Oryx 2: Lambda architecture on Apache Spark, Apache Kafka for real-time large scale machine learning
Machine Learning Platform and Recommendation Engine built on Kubernetes
Android TensorFlow MachineLearning Example (Building TensorFlow for Android)
A machine learning software for extracting information from scholarly documents
Plugin to integrate Learning to Rank (aka machine learning for better relevance) with Elasticsearch
Datumbox is an open-source Machine Learning framework written in Java which allows the rapid development of Machine Learning and Statistical applications....
MALLET is a Java-based package for statistical natural language processing, document classification, clustering, topic modeling, information extraction, and other...
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 applicatio...
Android TensorFlow Lite Machine Learning Example
This project contains examples which demonstrate how to deploy analytic models to mission-critical, scalable production environments leveraging Apache Kafka and it...
MOA is an open source framework for Big Data stream mining. It includes a collection of machine learning algorithms (classification, regression, clustering, outlie...
An android library that uses technologies like artificial Intelligence, machine learning, and deep learning to make developers understand the content that they are...
Language-agnostic pretty-printing through machine learning (uh, like, is this possible? YES, apparently)....
Ytk-learn is a distributed machine learning library which implements most of popular machine learning algorithms(GBDT, GBRT, Mixture Logistic Regression, Gradient...
ETL Library for Machine Learning - data pipelines, data munging and wrangling
The library contains a number of interconnected Java packages that implement machine learning and artificial intelligence algorithms. These are artificial intellig...
Multi-label classifiers and evaluation procedures using the Weka machine learning framework.
Framework for defining machine learning models, including feature generation and transformations, as directed acyclic graphs (DAGs)....
🆕 A machine learning plugin which supports an approximate k-NN search algorithm for Open Distro for Elasticsearch...
A collection of experiences utilizing machine learning models from Fritz AI
A text analyzer which is based on machine learning,statistics and dictionaries that can analyze text. So far, it supports hot word extracting, text classification...