The journey of Modernizing TorchVision – Memoirs of a TorchVision developer – 3
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Artificial Intelligence
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VernamVeil: A Fresh Take on Function-Based Encryption
Cryptography often feels like an ancient dark art, full of math-heavy concepts, rigid key sizes, and strict protocols. But what if you could rethink the idea of a “key” entirely? What if the key wasn’t a fixed blob of bits, but a living, breathing function? VernamVeil is an experimental cipher that explores exactly this idea.
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How to get around Dropbox’s symlink limitations on Linux
As of mid-2019, Dropbox announced that they no longer support symlinks that point outside of the main Dropbox folder. In this tutorial, we show a workaround on Linux that enables us to store in Dropbox any file, even if it is not located within the main Dropbox folder. What is the limitation and why it’s
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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. Here are the details: Bug Fixes: Resolved an issue on ShapiroWilk which led to the incorrect
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How to take S3 backups with DejaDup on Ubuntu 20.10
DejaDup is the default backup application for Gnome. It’s a GUI for duplicity, focuses on simplicity, supports incremental encrypted backups and up until recently supported a large number of cloud providers. Unfortunately as of version 42.0, all major cloud providers have been removed. Thus given that Ubuntu 20.10 ships with the specific version, any user
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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 ideas already known since 1990s aka “Data Mining era”), the main reasons of its success can
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 in my branch. I might maintain it and merge it with the latest
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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 enhancements and better architecture. Download it now from Github or Maven Central Repository. What is new? The focus
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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 are saved/loaded, several pre-trained Machine Learning models and lots of memory & speed improvements. Download it now from Github
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Getting the GPU usage of NVIDIA cards with the Linux dstat tool
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
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