Just published my first blog post on Medium! This new blog post discusses how you can optimize the S&P500 and create portfolios that are more performant compared to the classic S&P500 weighted by market capitalization. As an introduction to portfolio optimization you’ll learn about the equal weighted S&P500, minimum variance portfolio, eigenportfolios and random matrix…
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Happy to announce we are open-sourcing a library at CrowdCent called numerblox, which we have been building and using internally since January. We built it mainly to simplify and scale our weekly inference pipelines, but are also using components of it for training Numerai models. The vision behind numerblox is that while the Numerai community…
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Very happy to announce that, starting in January, I’m joining CrowdCent full-time! I will focus on financial data, NLP and Numerai models. CrowdCent’s vision is to decentralize investment management by aligning incentives, crowdsourcing ideas and processing them with machine learning. For more information: https://crowdcent.com
I just released a new blog post on getting started with Numerai Signals using stocknewsapi.com and a sentiment analysis model (FinBERT). Blog post link here Accompanying code link here This post was written for Weights and Biases. More blog posts that I wrote for this platform can be found here.
“If you want to learn something well, explain it.” – Richard Feynman Over the Christmas break I wrote a deep dive about the fundamental building block of so many awesome AI models nowadays (GPT-3, DALL-E, etc.): Transformers! Includes background, PyTorch code and formulas. Hope you learn as much from it as I did writing it!…
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The past weeks I have had the honor to talk about Explainable AI (XAI) with Beril Sirmacek for a course she teaches at Jönköping University in Sweden. We talk about how I started with data science and especially computer vision. We go into several XAI techniques. In a follow-up video we also do a deep…
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For Weights & Biases I just released a new report researching the evolution of mobile Convolutional Neural Network (CNN) architectures (MobileNet, SqueezeNet, GhostNet, etc.). It also includes a Kaggle Notebook so you compare and experiment with the CNN architectures yourself. Weights & Biases Report Kaggle Notebook
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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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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For the past two months my colleagues and I at VBTI have been working on estimating 3D rotation with deep learning for various applications. Here we show an example demonstration using a laptop webcam and a stuffed elephant (Ollie). 😁 https://www.linkedin.com/posts/carlolepelaars_vbti-ai-deeplearning-activity-6694260638857867264-eMfK
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