Machine Learning & Statistics
Framework, Machine Learning & Statistics, programming
A sneak peek at TorchVision v0.11 – Memoirs of a TorchVision developer – 2
The last couple of weeks were super busy in “PyTorch Land” as we are frantically preparing the release of PyTorch v1.10 and TorchVision v0.11. In this 2nd instalment of the series, I’ll cover some of the upcoming features that are currently included in…
Framework, Machine Learning & Statistics, programming
New Blog series – Memoirs of a TorchVision developer
I’m starting a new blog post series about the development of PyTorch’s computer vision library. I plan to discuss interesting upcoming features primarily from TorchVision and secondary from the PyTorch ecosystem. My target is to highlight new and in-de…
Framework, Machine Learning & Statistics
Datumbox Machine Learning Framework v0.8.2 released
The Datumbox Framework v0.8.2 has been released! Download it now from GitHub or Maven Central Repository. What is new? The version 0.8.2 is a limited incremental release that focuses on resolving bugs and updating the dependencies of the framework. Her…
Machine Learning & Statistics, programming
The Batch Normalization layer of Keras is broken
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…
Machine Learning & Statistics, programming
5 tips for multi-GPU training with Keras
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 id…
Framework, Machine Learning & Statistics
Datumbox Machine Learning Framework v0.8.1 released
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 are…
Machine Learning & Statistics, programming
Drilling into Spark’s ALS Recommendation algorithm
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 m…
Framework, Machine Learning & Statistics, programming
Datumbox Machine Learning Framework version 0.8.0 released
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 ar…
Framework, Machine Learning & Statistics, programming
Datumbox Machine Learning Framework 0.7.0 Released
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 e…