An open-source Python suite called ParaStereoSync and KineViz-3D uses consumer cameras, printed markers, and software-based ...
IntroductionWhen drawing graphs in Python, it is common to use a step-by-step approach: setting axes, adjusting legends, ...
A German academic research group today posted an open-source AI agent to arXiv that approaches ARC-AGI-3 — the interactive benchmark where frontier models including Claude Opus 5 still cannot reliably ...
Implement ML algorithms from scratch in Python and answer the conceptual questions that trip up candidates. Covers logistic regression, K-means, ROC-AUC, cross-validation, feature engineering, ...
Registration is open for the RCS Spring 2026 Tutorials. Please also be aware that we have lots of recordings and slides available from past tutorials by RCS staff and vendors. For hands-on sessions ...
The volume and variety of enterprise data collected for analytics and AI applications continue to increase. To gain valuable business insights from these complex data assets, organizations are also ...
In this tutorial, we explore how we can seamlessly run MATLAB-style code inside Python by connecting Octave with the oct2py library. We set up the environment on Google Colab, exchange data between ...
In this tutorial, we build an Advanced OCR AI Agent in Google Colab using EasyOCR, OpenCV, and Pillow, running fully offline with GPU acceleration. The agent includes a preprocessing pipeline with ...
Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Programming is a key transferable skill within the chemical sciences with applications ...
Automate end-to-end data science workflows through the built-in Data Science Agent (DSA), which creates multi-step plans, generating and executing code, reasons about the results, and presents its ...
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