Thread by @xpvit

Hey #JVM folks, are you willing to explore some Deep Machine Learning or AI and not ready to learn Python? I have collected a list of libraries which allow you to implement any ML dreams without leaving the #JVM world. 🧵 👇

deeplearning4j - a suite of tools for deploying and training DL models using the JVM. Highlights include model import for keras, tensorflow, and onnx/pytorch, a modular and tiny c++ library for running math code.

100% must see 👉 rli.to/iNTuA

Tensor Flow Java - Java bindings for @TensorFlow. Nothing to add.

👉 rli.to/mGdfF

Dagli by @LinkedIn - is a machine learning framework that makes it easy to write bug-resistant, readable, efficient, maintainable and trivially deployable models in Java 9+ (and other JVM languages).

👉 rli.to/B4Ait

Tribuo by @Oracle - is an ML lib that provides multi-class classification, regression, clustering, anomaly detection and multi-label classification. It implements popular ML algorithms. It contains all the code to load, featurise and transform data.

👉 rli.to/4y5YB

MLlib - is Apache Spark's scalable machine learning library. ML algorithms include: classification, regression, decision trees, recommendation, clustering, topic modelling, frequent itemsets, association rules, and sequential pattern mining.

👉 rli.to/FdWU8

Apache OpenNLP - the library is a machine learning-based toolkit for processing text. It supports tokenization, sentence segmentation, part-of-speech tagging, named entity extraction, chunking, parsing, language detection and coreference resolution.

👉 rli.to/QmcyD

Deep Java Library (DJL) - is an open-source, high-level, engine-agnostic Java framework for deep learning. DJL is designed to be easy to get started with and simple to use for Java developers.

👉 rli.to/F6xXB

Apache Mahout - is a distributed linear algebra framework and mathematically expressive Scala DSL designed to let mathematicians, statisticians, and data scientists quickly implement their own algorithms.

👉 rli.to/UXeSt

Smile by @haifengl - Statistical Machine Intelligence and Learning Engine. It is a fast and comprehensive machine learning, NLP, linear algebra, graph, interpolation, and visualization system in Java and Scala. It delivers state-of-art performance.

👉 rli.to/6Ijbr

Apache Ignite ML - is a set of simple, scalable and efficient tools that allow the building of predictive Machine Learning models without costly data transfers.

👉 rli.to/pBu79

KotlinDL is a DL API written in Kotlin and inspired by Keras. It uses TensorFlow Java API and ONNX Runtime API for Java. It has APIs to train DL models from scratch, import existing Keras and ONNX models for inference, and leverage transfer learning.

👉 rli.to/WihuJ

Thanks for reading. 🙏

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https://twitter.com/xpvit/status/1605139665178312704