Not all forums are open to self-promotion. I built a workaround for this.

We all know how exciting building a product is. Less exciting is convincing other people that our product is the right solution for their use-case.

After coding up the best version of our product, the marketing starts…


Sell a list using Google sheets and Stripe

This is a follow up article to how to sell a table. After trying out different options, I ended up building my own platform to easily sell a list of things: https://tabslu.com.

I tried to make it really easy:
- You can prepare the list on Google sheets, and connect it…


The easiest way to sell tabular data on the internet

Few months ago, I was collecting some data about companies and their customers. I thought that this could have been valuable to someone. In particular, this could be valuable for companies that want to understand who their competitors’ customers are.

But yeah, I started to collect some data in a…


Why BERT is not the best choice for multilingual tasks

Image obtained translating “multilingual transformers” with https://translatr.varunmalhotra.xyz/ and using https://www.wordclouds.com/

Last year, we saw rapid improvements in transformer architectures. Being the GLUE benchmark the main reference point for the state-of-the-art in language understanding tasks, most of the research efforts focused on English data. BERT, RoBERTa, DistilBERT, XLNet — which one to use?


I had this brief go at some data provided by http://ailivesim.com/. AIliveSim built a simulation tool to train and test agents in very realistic 3D environments.

I was really impressed by some of their maritime simulations. Snapshots from their simulated 3D environments look really real. …


Progressive Generative Adversarial Networks (GANs) at ICLR 18 this year achieved incredible results on synthetic faces generation. Some of the improvements of this paper are also due to a carefully curated data set of celebrity photos in high resolution (1024 by 1024 pixels). Given a latent vector in a 512-dimensional…


PyData Seattle 2017 was held in Microsoft Redmond. It was might first time attending a non academic conference on data science. I have to say that I really enjoyed it mostly because several talks were hands on and provided jupyter notebooks. …


We all got excited with the recent developments of deep neural networks. Among the different applications of deep learning, Natural Language Processing (NLP) applications have attracted quite a bit of interest. …

Simone Romano

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