Category: Competitions

Carlo Lepelaars

numerai, interview, office hours with arbitrage

Numerai Interview on “Office Hours with Arbitrage”

For the last half year I’ve been active on Numerai, an online Data Science tournament where you build predictive models for stock market trading. When I started with the tournament it felt tough to get started and setup a good model evaluation scheme. As a result of this initial struggle I decided to feature Numerai…
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Weights And Biases, logo

Joining Weights & Biases’ Author program

For the last two weeks I started writing for Weights & Biases (W&B) as part of their author program. They are making very cool tools for machine learning engineers. I will highlight some essential features in upcoming blog posts. My first blog post is on getting started with Numerai, which is a data science tournament…
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jigsaw, kaggle, silver, nlp, natural language processing

29th place silver in Jigsaw’s toxic comment classification competition

The Jigsaw Toxic Comment competition on Kaggle is finalized! Our team “No Comment” finished on 29th place out of 1,621 teams. It was loads of fun to work on this competition with Ryan Chesler and Maximilian Jeblick. Learned a lot of new things about NLP and ensembling.

Kaggle, Deepfake, Face detection

79st Place Silver Solution in Kaggle’s Deepfake Detection Competition!

Happy to say that our team got 79st place in Kaggle’s Deepfake Detection competition! This is sufficient for a silver medal. In this blog post I will give an overview of our solution. In essence, we tried to include as much model diversity in our ensemble as possible in order to survive a leaderboard shakeup.…
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Serpentine, AI E-sports, TU Eindhoven, Carlo Lepelaars, carlo.ai, carlolepelaars.nl, AI Connect

Winning the Starcraft 2 AI competition at Fruitpunch AI Connect

Had a great time last Saturday at FruitPunch AI Connect on the Technische Universiteit Eindhoven campus! Awesome to hear that we won the Starcraft AI competition with team Serpentine! Excited to work on new projects with this team! The paper and code for this project will be released through Team Serpentine’s website.

Carlo Lepelaars, AI, Netherlands Red Cross, Competition, Datathon, carlo.ai, carlolepelaars.nl

Winning the 510 Datathon (Netherlands Red Cross)

Had a great day competing in a Datathon for 510 An Initiative of the Netherlands Red Cross on disaster impact prediction! We won the competition by combining decision trees and a rule based approach to Twitter data. We also suggested using word embeddings to find more indicative words in tweets. Excited to work on other…
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