9 Repositories
Java neural-nets Libraries
Simple Artificial Neural Network java library
SANN WIP (in future I will add rnn, cnn, lstm, gru and examples) Simple Artificial Neural Network java library Creating neural network Variant 1 //cre
An experiment in artificial life, artificial neural nets, artificial sentience, simulated evolution, simulated consciousness, and genetic programming
bots An experiment in artificial life, artificial neural nets, artificial sentience, simulated evolution, simulated consciousness, and genetic program
Workflow management system fully supporting low-code language Petriflow.
Netgrif Application Engine MySQL Create NETGRIF user: CREATE USER 'netgrif_nae'@'localhost' IDENTIFIED BY 'netgrif_nae'; GRANT ALL PRIVILEGES ON * . *
An Engine-Agnostic Deep Learning Framework in Java
Deep Java Library (DJL) Overview Deep Java Library (DJL) is an open-source, high-level, engine-agnostic Java framework for deep learning. DJL is desig
A group of neural-network libraries for functional and mainstream languages
Synapses A group of neural-network libraries for functional and mainstream languages! Choose a programming language: Clojure C# Elixir F# Gleam Java J
Encog java core Apache 2 Encog java core Encog is an advanced machine learning framework that supports a variety of advanced algorithms, as well as support classes to normalize and process data. Machine learning algorithms such as Support Vector Machines, Artificial Neural Networks, Genetic Programming, Bayesian Networks, Hidden Markov Models, Genetic Programming and Genetic Algorithms are supported. License: Apache 2 , .
Encog Machine Learning Framework Encog is a pure-Java/C# machine learning framework that I created back in 2008 to support genetic programming, NEAT/H
java deep learning algorithms and deep neural networks with gpu acceleration
Deep Neural Networks with GPU support Update This is a newer version of the framework, that I developed while working at ExB Research. Currently, you
An Engine-Agnostic Deep Learning Framework in Java
Deep Java Library (DJL) Overview Deep Java Library (DJL) is an open-source, high-level, engine-agnostic Java framework for deep learning. DJL is desig
Model import deployment framework for retraining models (pytorch, tensorflow,keras) deploying in JVM Micro service environments, mobile devices, iot, and Apache Spark
The Eclipse Deeplearning4J (DL4J) ecosystem is a set of projects intended to support all the needs of a JVM based deep learning application. This mean