arogozhnikov.github.io 28. 12. 2023Fastest Autograd in the West – arogozhnikov.github.io 20. 8. 2023Optical pooled screens of cells (overview of emerging biotechnology) – arogozhnikov.github.io 13. 7. 2023Einops, retrospective of 5 years – arogozhnikov.github.io 29. 1. 2023Schema migration should be a responsibility of DB – arogozhnikov.github.io 29. 11. 2022Delimiter-first – arogozhnikov.github.io 1. 11. 2020Things I wish someone told me about microscopy – arogozhnikov.github.io 1. 10. 2020Don't write command-line interfaces (generate them) – arogozhnikov.github.io 1. 2. 2020Numbers that lie to you – arogozhnikov.github.io 1. 1. 2019Twin training: trick for better model comparisons – arogozhnikov.github.io 6. 12. 2018Einops — a new style of deep learning code – arogozhnikov.github.io 10. 7. 2017Clustering applied to showers in the OPERA – arogozhnikov.github.io 24. 6. 2017Machine learning applied to showers in the OPERA – arogozhnikov.github.io 20. 4. 2017Machine Learning in Science and Industry slides – arogozhnikov.github.io 19. 12. 2016Hamiltonian Monte Carlo explained – arogozhnikov.github.io 10. 9. 2016Jupyter (IPython) notebooks features – arogozhnikov.github.io
28. 12. 2023Fastest Autograd in the West – arogozhnikov.github.io 20. 8. 2023Optical pooled screens of cells (overview of emerging biotechnology) – arogozhnikov.github.io 13. 7. 2023Einops, retrospective of 5 years – arogozhnikov.github.io 29. 1. 2023Schema migration should be a responsibility of DB – arogozhnikov.github.io 29. 11. 2022Delimiter-first – arogozhnikov.github.io 1. 11. 2020Things I wish someone told me about microscopy – arogozhnikov.github.io 1. 10. 2020Don't write command-line interfaces (generate them) – arogozhnikov.github.io 1. 2. 2020Numbers that lie to you – arogozhnikov.github.io 1. 1. 2019Twin training: trick for better model comparisons – arogozhnikov.github.io 6. 12. 2018Einops — a new style of deep learning code – arogozhnikov.github.io 10. 7. 2017Clustering applied to showers in the OPERA – arogozhnikov.github.io 24. 6. 2017Machine learning applied to showers in the OPERA – arogozhnikov.github.io 20. 4. 2017Machine Learning in Science and Industry slides – arogozhnikov.github.io 19. 12. 2016Hamiltonian Monte Carlo explained – arogozhnikov.github.io 10. 9. 2016Jupyter (IPython) notebooks features – arogozhnikov.github.io