Reversed-Engineering to understand performance costs
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Some of my open-source contributions
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Performance and scikit-learn (4/4)
Pairwise Distances Reductions: extra notes on technical details, benchmarks and further work.
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Performance and scikit-learn (3/4)
Pairwise Distances Reductions: Abstracting the k-nn search pattern
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Performance and scikit-learn (2/4)
Hardware scalability issue: the k-neighbors search example
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Performance and scikit-learn (1/4)
Context: the current state of scikit-learn performance
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Performance and scikit-learn (0/4)
A series of blog-posts.
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Academic Curriculum
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Vectorised implementation of splines
All you need is
numpy.einsum
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Web Craftmanship
« Une expérience bien conçue et bien conduite procure un plaisir comparable à celui qu’éprouve l’artisan devant un travail bien fait. »
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