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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Statistics: numbers that lie to you
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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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Occam razor vs. machine learning
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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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.new_item for python lists
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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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Cumulative sum as a test for your programming environment
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Rule of statistical error
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Using fortran from python
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So you decided to write a machine learning library (bad advice)
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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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MLHEP 2015 lectures slides
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Machine learning in COMET experiment (part II)
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Multimixture fitting
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LibFM in python
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Do you know that convolution operation was implemented in deep learning systems via matrix multiplication?
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Learning to rank (software, datasets)
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A Programming Language
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Machine learning used in tracking of COMET (japanese particle physics experiment), part I
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Automatic reweighting with gradient boosting
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Decision train classifier
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Removing margins of PDFs
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Back to the future (vector representation of future, an approach to analysis of time series)
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Theano-based libraries for machine learning
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Thoughts about tensor train
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Very deep neural network
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Anomaly detection at CERN experiments
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Links on deep learning
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Vector representations of categories
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Code and the importance of vectorization
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Numpy exercises
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Plans for ML experiments
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Simplification vs usability
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Good list of NN training methods
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An interesting equality from linear algebra
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Benchmarks of speed (Numpy vs all)
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Why using HDF5?
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Pairwise layer in Neural Networks
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So many names
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Cousteau
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Optimization of vector operations with bit hacks
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Minibus stochastic process
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Theano (python library)
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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
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Gradient boosting 
Hamiltonian MC 
Gradient boosting 
Reconstructing pictures 
Neural Networks