Posts Deep Learning

Deep Learning

TabNet

TabNet: New Kid on the Boosting Block

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"Enter Google's TabNet in 2019. According to the paper, this Neural Network was able to outperform the leading tree-based models across a variety of benchmarks. Not only that, it is considerably more explainable than boosted tree models as it has built-in explainability. It can also be used without any feature preprocessing." ... Read More
No-Code for Deep Learning: Ludwig

No-Code Just YAML -> Ludwig

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Let's say you want something to achieve without making your hands dirty in a code. So, it would be best if you had no-code. From today's point of view, Ludwig would be your choice. ... Read More
zero-shot image classification

Zero-Shot Image Classification – CLIP

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Zero-shot text classification appeared last year and was a pretty cool thing. At the beginning of this year, we have an implementation of zero-shot image classification. What a beginning of the year :-) ... Read More
A Great Menthor

A Great Mentor Notes

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“If you think about the most valuable advice I’ve ever gotten from a mentor, it was this: if you’re going to be a coach in any capacity, just make a commitment. Because it takes a lot of work to be good at something you love. You can learn a lot ... Read More
JavaScript Programming

JavaScript for DataScience

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Like it or not, JavaScript is here to stay. Tensorflow models can be accessed by JavaScript, so do Torch ones. And node.js is something that allows to use JavaScript in command line. So, deal with it, on the proper way, and take the best of JavaScript. Of course, you don’t ... Read More