Posts
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Fastest Autograd in the West
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Optical pooled screens of cells (overview of emerging biotechnology)
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Einops, retrospective of 5 years
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Schema migration should be a responsibility of DB
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Delimiter-first code
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Things I wish someone told me about microscopy
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Don't write command-line interfaces (generate them)
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Twin training: trick for better model comparisons
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Einops — a new style of deep learning code
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Clustering applied to showers in the OPERA
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Machine learning applied to showers in the OPERA
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Machine Learning in Science and Industry slides
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Hamiltonian Monte Carlo explained
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Jupyter (IPython) notebooks features
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MLHEP 2016 lectures slides
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Gradient Boosting Interactive Playground
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Gradient Boosting explained [demonstration]
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Interactive demonstrations for ML courses
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Testing implementations of LibFM
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Reconstructing pictures with machine learning [demonstration]
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Optimal control of oscillations [demonstration]
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Reweighting with Boosted Decision Trees
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sPlot: a technique to reconstruct components of a mixture
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ROC curve demonstration
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Data manipulation with numpy: tips and tricks, part 2
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Data manipulation with numpy: tips and tricks, part 1
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Log-likelihood benchmark
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Machine learning in COMET experiment (part II)
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Machine learning used in tracking of COMET (japanese particle physics experiment), part I
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An interesting equality from linear algebra
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Optimization of vector operations with bit hacks
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Minibus stochastic process
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Numbers and Naturalness, part 3
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Legendre transformation without Legendre transformation
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Redundant numeral systems
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Soviet computer "Сетунь"
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Numbers and Naturalness, part 2.
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Numbers and Naturalness, part 1.
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Why and What
Remarks
2025 Dec 20 Some explorations in non-conventional typography
2025 Dec 15 To make logging useful, you may need a different type of logging
2025 Dec 01 Getting lost in partial derivatives
2024 Dec 26 Our colleagues, Julii
2024 Dec 25 Rage against the arcane
2024 Dec 25 Introducing remarks
2020 Feb 01 Statistics: numbers that lie to you
2016 Jul 12 Occam razor vs. machine learning
2016 May 22 .new_item for python lists
2015 Dec 11 Cumulative sum as a test for your programming environment
2015 Dec 02 Rule of statistical error
2015 Nov 29 Using fortran from python
2015 Oct 15 So you decided to write a machine learning library (bad advice)
2015 Sep 07 MLHEP 2015 lectures slides
2015 Jul 04 Multimixture fitting
2015 Jul 04 LibFM in python
2015 Jul 01 Convolution operation was often implemented via matrix multiplication
2015 Jun 26 Learning to rank (software, datasets)
2015 Jun 25 A Programming Language
2015 Jun 04 Automatic reweighting with gradient boosting
2015 May 22 Decision train classifier
2015 May 17 Removing margins of PDFs
2015 May 17 Back to the future (vector representation of future, an approach to analysis of time series)
2015 May 12 Theano-based libraries for machine learning
2015 May 11 Thoughts about tensor train
2015 May 10 Very deep neural network
2015 May 10 Anomaly detection at CERN experiments
2015 May 04 Some links on deep learning
2015 May 04 Vector representations of categories
2015 May 04 Code and the importance of vectorization
2015 Apr 30 Numpy exercises
2015 Mar 15 Old-style optimization methods for neural networks
2015 Jan 06 Faster alternatives to numpy?
2015 Jan 01 Why using HDF5?
2015 Jan 01 Pairwise layer in Neural Networks
2014 Dec 26 So many names
2014 Dec 14 Cousteau
2014 Nov 01 Theano (python library)
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Gradient boosting 
Hamiltonian MC 
Gradient boosting 
Reconstructing pictures 
Neural Networks