xcorr: AI & neuro

xcorr: AI & neuro

by Patrick Mineault

  • Good Research Code Handbook
  • Substack
  • Aboutxcorr is the blog of Patrick J. Mineault.
  • SciTrends

    I’ve just put the finishing touches on SciTrends, a new website which allows you to browse science articles which are being talked about on Twitter and read on CiteULike. Kind of like hackernews or 9gag, but for science instead of tech or stupid BS. It’s a thin layer over Altmetric – watch out for the

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    April 26, 2013
  • Deinterlace a movie in Matlab

    Here’s a simple function to deinterlace a movie that was interlaced to go from 24fps to 30fps:

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    April 23, 2013
  • Memory management in gnumpy

    I’m working on a project using gnumpy, which is a wrapper for CUDAmat, a toolbox for GPU computation in Python. I was having memory management issues, where the script would crash after the memory on the graphics card would fill up. I kept trying to delete the variables via del but this seemed to have

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    April 21, 2013
  • ipython and ipython notebook for Matlab users

    Following my post on IDEs for scientific Python, several commenters mentioned using some combination of their favorite text editor and ipython rather than a dedicated IDE. ipython is an interactive Python interpreter that offers a much enhanced user experience over the regular Python interpreter: with features such as: Integration with matplotlib Autocompletion Syntax highlighting at

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    April 19, 2013
  • Evaluating IDEs for scientific Python

    Updated March 2023. In my book, VSCode is the only game in town. It’s free, open, fast and full-featured. What’s not to like? Python is a general purpose scripting language that can be used for statistical analysis, numeric work, machine learning, and much more. If you’re coming from other scientific computing environments like Matlab, Mathematica

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    April 17, 2013
  • NumPy uses the wrong BLAS libraries – solution

    I’ve been transferring some code from Matlab to NumPy and my first tests on my Ubuntu 12.10 installation were very disappointing – slow as molasses. Specifically, numpy.dot was taking forever. I figured this might have something to do with BLAS libraries, a subject which is completely beyond mere mortals to understand. Is something wrong with

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    April 12, 2013
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