datumbox-framework
Machine Learning Framework
A Java-based framework for rapid development of machine learning and statistical applications
Datumbox is an open-source Machine Learning framework written in Java which allows the rapid development of Machine Learning and Statistical applications.
1k stars
137 watching
282 forks
Language: Java
last commit: almost 2 years ago
Linked from 2 awesome lists
big-datadata-sciencejavamachine-learningnlpstatistics
josephmisiti/awesome-machine-learning
vedenin/useful-java-linksRelated projects:
| Repository | Description | Stars |
|---|---|---|
 jubatus/jubatus | An online machine learning framework that runs in a distributed environment. | 707 |
 symjax/symjax | A symbolic programming library for machine learning and deep learning applications. | 120 |
 fielddb/deeplearntoolbox | A Matlab toolbox for building and training deep neural networks | 0 |
 microsoft/0xdeca10b | A framework for hosting and training machine learning models on a blockchain, enabling secure sharing and prediction without requiring users to pay for data or model updates. | 559 |
 federatedai/eggroll | A framework for distributed machine learning | 242 |
 yechengxi/lightnet | A Matlab-based framework for building and training deep learning models | 271 |
 douban/tfmesos | A framework to run distributed machine learning tasks using TensorFlow on Mesos clusters within Docker images. | 191 |
 magnet-dl/magnet | An API that simplifies the development of deep learning architectures by providing a high-level abstraction around PyTorch. | 360 |
 gomlx/gomlx | An accelerated machine learning framework for Go that provides tools and libraries for training, fine-tuning, and modifying machine learning models. | 553 |
 apache/mahout | An environment for quickly creating scalable machine learning applications | 2,145 |
 cdipaolo/goml | A Go library that provides an online machine learning framework with various algorithms and models | 1,574 |
 sql-machine-learning/elasticdl | A framework for building and training distributed deep learning models in Kubernetes environments. | 735 |
 manujosephv/pytorch_tabular | A deep learning framework specifically designed for tabular data, providing a standardized approach to modeling and deploying complex machine learning models. | 1,404 |
 jeffheaton/encog-java-core | A Java machine learning framework for developing and training neural networks and other models. | 743 |
 edwardraff/jsat | A Java library providing a range of machine learning algorithms and tools for statistical analysis | 791 |