mpacula.com

Maciej Pacula

MIT Class of 2010. Automatically find related words using a statistical analysis of the English Wikipedia. Natural language corpora and language models from large public datasets. Program autotuning for multicores and the cloud. Native monads, pattern matching and generic operator dispatch in Scheme. Extensible, strongly-typed Genetic Programming in Haskell. Automatic de-identification of electronic medical records via Machine Learning. Matrix factorization for recommending music. Mark A. DePristo. Y L W...

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Maciej Pacula | mpacula.com Reviews

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MIT Class of 2010. Automatically find related words using a statistical analysis of the English Wikipedia. Natural language corpora and language models from large public datasets. Program autotuning for multicores and the cloud. Native monads, pattern matching and generic operator dispatch in Scheme. Extensible, strongly-typed Genetic Programming in Haskell. Automatic de-identification of electronic medical records via Machine Learning. Matrix factorization for recommending music. Mark A. DePristo. Y L W...

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Maciej Pacula | mpacula.com Reviews

https://mpacula.com

MIT Class of 2010. Automatically find related words using a statistical analysis of the English Wikipedia. Natural language corpora and language models from large public datasets. Program autotuning for multicores and the cloud. Native monads, pattern matching and generic operator dispatch in Scheme. Extensible, strongly-typed Genetic Programming in Haskell. Automatic de-identification of electronic medical records via Machine Learning. Matrix factorization for recommending music. Mark A. DePristo. Y L W...

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blog.mpacula.com

Maciej Pacula

Misusing computers since 1999. Beautiful Sound: visualizing music. I am fascinated by the beauty of music, which motivated me to play around with Digital Signal Processing. In order to better understand both music and DSP, I created a tool that can plot visually pleasing waveforms of audio files. The source code is available on GitHub as the Beautiful Sound. Below you can find the waveform of. Heart’s Mystery Unfolding. The images look best in HD, so make sure to click and zoom in! February 25th, 2012.

beautiful-sound.mpacula.com

Beautiful Sound

The "Beautiful Sound" project was born in an attempt to understand Digital Signal Processing, with the hope of producing visually pleasing images of music. The full source code is available on GitHub. This page contains some of the graphics generated using the Beautiful Sound tools. The images on this page are for educational purposes only. It is impossible to recover the original recordings from them. Moody Blues - Floating. Antonio Vivaldi - Spring. Michael Giacchino - Super 8. Sarah Brightman - Eden.

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mpacula.com

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AutoCorpus - natural language corpora from large public datasets

http://www.mpacula.com/autocorpus

Natural language corpora from large public datasets. AutoCorpus is a set of utilities that enable automatic extraction of language corpora and language models from publicly available datasets such as Wikipedia. It consists of fast native binaries which can process tens of gigabytes of text in little time. What can I do with it? AutoCorpus enables you to convert the entire English Wikipedia. From a 30 GB XML database. Into a clean plaintext version. And an n-gram language model. How do I use it? Autocorpu...

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blog.mpacula.com

Maciej Pacula » Archives

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Misusing computers since 1999.

blog.mpacula.com

Maciej Pacula » DSP

http://blog.mpacula.com/category/dsp

Misusing computers since 1999. Beautiful Sound: visualizing music.

blog.mpacula.com

Maciej Pacula » HOWTO: easily manipulate PNG pixel data in Python

http://blog.mpacula.com/2012/02/01/howto-easily-manipulate-png-pixel-data-in-python

Misusing computers since 1999. HOWTO: easily manipulate PNG pixel data in Python. I had a hard time finding a simple and easy-to-use library in Python that would let me draw on. Images by directly manipulating pixel data. Works well, but the color component ordering is a bit unusual (BGRA) and. Alpha ignored but still present in RGB24. FORMAT ARGB32 ,. ImageSurface. create from png. Coordinates to index (. Set pixel (. FORMAT ARGB32: d [. Get pixel (. Could be used to add a ripple effect to a.

blog.mpacula.com

Maciej Pacula » Counting Collocations: GHC and G++ benchmarked

http://blog.mpacula.com/2011/12/18/counting-collocations-ghc-and-g-benchmarked

Misusing computers since 1999. Counting Collocations: GHC and G benchmarked. Lies, damned lies, and benchmarks. Note: the GitHub code has since been updated. You can see the implementation this post is referring to by viewing the “1.0” tag. I have been investigating various methods of statistically inferring synonyms from natural language corpora. As a part of my investigation, I implemented a method based on. When using collocations for synonym inference, it is assumed that two words. I furthermore igno...

blog.mpacula.com

Maciej Pacula » Programming

http://blog.mpacula.com/category/programming

Misusing computers since 1999. Beautiful Sound: visualizing music. Counting Collocations: GHC and G benchmarked. SVN to Git: one-command conversion. Our GECCO paper got in! K-means clustering example (Python). Unit Testing in Scheme Power Tools. Introducing Scheme Pattern Matching. Multimethods in Java and .NET. Getting started with MIT Scheme.

blog.mpacula.com

Maciej Pacula » Machine Learning

http://blog.mpacula.com/tag/machine-learning

Misusing computers since 1999. Tag browsing: Machine Learning. My Thesis: Evolutionary Algorithms for Compiler-Enabled Program Autotuning.

blog.mpacula.com

Maciej Pacula » Emacs

http://blog.mpacula.com/category/emacs

Misusing computers since 1999. HOWTO: prevent Emacs from splitting windows.

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mpacula.com

Maciej Pacula

MIT Class of 2010. Automatically find related words using a statistical analysis of the English Wikipedia. Natural language corpora and language models from large public datasets. Program autotuning for multicores and the cloud. Native monads, pattern matching and generic operator dispatch in Scheme. Extensible, strongly-typed Genetic Programming in Haskell. Automatic de-identification of electronic medical records via Machine Learning. Matrix factorization for recommending music. Mark A. DePristo. Y L W...

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