Datumbox Machine Learning Framework

Most people who work in Deep Learning have either used or heard of Keras. For those of you who haven’t, it’s a great library that abstracts the underlying Deep Learning frameworks such as TensorFlow, Theano and CNTK and provides a high-level API for training ANNs. It is easy to use, enables fast prototyping and has […]

UPDATE: Unfortunately my Pull-Request to Keras that changed the behaviour of the Batch Normalization layer was not accepted. You can read the details here. For those of you who are brave enough to mess with custom implementations, you can find the code in my branch. I might maintain it and merge it with the latest […]

Deep Learning (the favourite buzzword of late 2010s along with blockchain/bitcoin and Data Science/Machine Learning) has enabled us to do some really cool stuff the last few years. Other than the advances in algorithms (which admittedly are based on ideas already known since 1990s aka “Data Mining era”), the main reasons of its success can […]

On October 19 2017, Ubuntu 17.10 will be released and as many of you know it packs lots of significant changes. I spend a week testing the Beta 2 and in this “last minute” review, I document some of the less obvious features/gotchas of Ubuntu 17.10. I also share with you my experience and provide […]

The Datumbox v0.8.1 has been released! Download it now from Github or Maven Central Repository. What is new? The main focus of version 0.8.1 is to resolve various bugs, update the depedencies and improve the code architecture of the framework. Here ... [More] are the details: Dependencies: Updated the Maven Compiler, Nexus Staging, Surefire, SLF4J and Logback […] [Less]

The ALS algorithm introduced by Hu et al., is a very popular technique used in Recommender System problems, especially when we have implicit datasets (for example clicks, likes etc). It can handle large volumes of data reasonably well and we can find ... [More] many good implementations in various Machine Learning frameworks. Spark includes the algorithm in […] [Less]

The dstat is an awesome little tool which allows you to get resource statistics for your Linux box. It has a modular architecture which allows you to develop additional plugins and it’s easy to use. Recently I was profiling a Deep Learning pipeline developed with Keras and Tensorflow and I needed detailed statistics about the […]

Datumbox Framework v0.8.0 is out and packs several powerful features! This version brings new Preprocessing, Feature Selection and Model Selection algorithms, new powerful Storage Engines that give better control on how the Models and the Dataframes ... [More] are saved/loaded, several pre-trained Machine Learning models and lots of memory & speed improvements. Download it now from Github […] [Less]

I am really excited to announce that, after several months of development, the new version of Datumbox is out! The 0.7.0 version brings multi-threading support, fast disk-based training for datasets that don’t fit in memory, several algorithmic ... [More] enhancements and better architecture. Download it now from Github or Maven Central Repository. What is new? The focus […] [Less]

I am really excited to announce that, after several months of development, the new version of Datumbox is out! The 0.7.0 version brings multi-threading support, fast disk-based training for datasets that don’t fit in memory, several algorithmic ... [More] enhancements and better architecture. Download it now from Github or Maven Central Repository. What is new? The focus […] [Less]