ericbattenberg.com ericbattenberg.com

ericbattenberg.com

Eric Battenberg

Software Engineer

http://www.ericbattenberg.com/

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Eric Battenberg | ericbattenberg.com Reviews
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Software Engineer
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1 Eric Dean Battenberg
2 Eric Battenberg
3 ebattenberg
4 UC Berkeley
5 Berkeley
6 UCSB
7 UC Santa Barbara
8 Music Information Retrieval
9 machine learning
10 signal processing
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Eric Battenberg | ericbattenberg.com Reviews

https://ericbattenberg.com

Software Engineer

INTERNAL PAGES

ericbattenberg.com ericbattenberg.com
1

Matlab Speed on OS X, Win7, and Ubuntu

http://ericbattenberg.com/matlab_speed.html

Matlab Speed on OS X, Win7, and Ubuntu. After getting a MacBook Pro, I quickly became frustrated with how slow Matlab runs on it. It's not just the GUI running on X11 but even basic loops running in console mode are significantly slower than the same loops run using the same UNIX version of Matlab on Ubuntu. Here I'll give some of the numbers I've gotten running Matlab 2008a/b on the above listed OSes. X = rand(1,N);. For i = 1:5000. X = fft(x);. Thinkpad T61 [Core 2 Duo T9300 2.5GHz]. Mac OS X 10.5.

2

Fixes and Tips

http://ericbattenberg.com/fixes_tips.html

After finding so many useful tips and bug-fixes on forums and blogs, I decided to finally start listing the things I have figured out so that all you other crazy programmers can save some time. Below you'll find some things that took me a while to figure out. Some of these tips may exist elsewhere online, but I thought they were worth reproducing here. Compiling Portaudio on Snow Leopard (Mac OS X 10.6). I recently upgraded to Snow Leopard, so I had trouble compiling the Portaudio audio I/O library.

3

Analyzing Drum Patterns Using Conditional Deep Belief Networks

http://ericbattenberg.com/drum_patterns.html

Analyzing Drum Patterns Using Conditional Deep Belief Networks. Eric Battenberg and David Wessel. Porto, Portugal October 8-12, 2012. This page will contain supplementary information to accompany the above paper which will be presented at the. International Music Information Retrieval Conference. To be held in Porto, Portugal October 8-12, 2012. In the meantime, here's the paper:.

4

Toward Live Drum Separation Using Probabilistic Spectral Clustering Based on the Itakura-Saito Divergence

http://ericbattenberg.com/separation.html

Toward Live Drum Separation Using Probabilistic Spectral Clustering Based on the Itakura-Saito Divergence. Eric Battenberg, Victor Huang, and David Wessel. AES 45th Conference on Time-Frequency Processing in Audio. Helsinki, Finland March 1-4, 2012. This page contains supplementary information, data, plots, and audio to accompany the above paper which was presented at the. AES 45th Conference on Time-Frequency Processing in Audio. Held in Helsinki, Finland March 1-4, 2012. Separation 2 (KH=1 and KT=0).

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lasagne.readthedocs.io lasagne.readthedocs.io

Development — Lasagne 0.2.dev1 documentation

http://lasagne.readthedocs.io/en/latest/user/development.html

The Lasagne project was started by Sander Dieleman in September 2014. It is developed by a core team of eight people (in alphabetical order: Eric Battenberg. Aäron van den Oord. And numerous additional contributors. On GitHub: https:/ github.com/Lasagne/Lasagne. As an open-source project by researchers for researchers, we highly welcome contributions! Every bit helps and will be credited. Make common use cases easy, do not overrate uncommon cases. Ideally, everything should be possible, but common us...

github.com github.com

ebattenberg (Eric Battenberg) · GitHub

https://github.com/ebattenberg

Http:/ www.ericbattenberg.com. Jan 25, 2012. A CUDA implementation of non-negative matrix factorization for GPUs. Python module to train GMMs using CUDA. Python code to do Conditional Restricted Boltzmann machine training applied to drum pattern generation. Python wrappers for fast NMF training using CUDA,MKL, and ATLAS. Implementation of some deep learning algorithms. 1 contribution in the last year. Summary of pull requests, issues opened, and commits. Learn how we count contributions.

benanne.github.io benanne.github.io

Software – Sander Dieleman

http://benanne.github.io/software

Research Scientist at Google DeepMind. Lasagne is a lightweight library to build and train neural networks in Theano. Pragmatism and transparency are two of its main design goals. It’s supposed to help you build networks. Theano, not on top of it, so it doesn’t hide Theano behind abstractions. Lasagne grew out of my internship at Spotify and my code for the Galaxy Challenge on Kaggle (see below as well). The core development team consists of Daniel Nouri. Aäron van den Oord. Theano wmf on GitHub. Which w...

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