craffel

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University of Toronto

Toronto, ON

http://www.colinraffel.com

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Lasagne

Colin Raffel's repositories

midi-dataset

Code for creating a dataset of MIDI ground truth

Language:Jupyter Notebook157 10 15

mad

Code for "Online and Linear Time Attention by Enforcing Monotonic Alignments"

Language:Jupyter NotebookApache-2.091 6 3

Lasagne-tutorial

Adding an ipynb tutorial to Lasagne

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mocha

Example implementation of Monotonic Chunkwise Attention.

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ff-attention

Experiments using feedforward networks with attention

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simple_spearmint

Spearmint, without the gum

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lstm_benchmarks

Benchmarking different LSTM libraries

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midi-ground-truth

Code for "Extracting Ground Truth Information from MIDI Files: A MIDIfesto"

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djitw

Python just-in-time compiled DTW library

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thesis

My PhD thesis

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mir_evaluators

Evaluator scripts for mir_eval.

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midi-dataset-ismir

Source for the ISMIR 2015 paper "Large-scale content-based matching of MIDI and audio files"

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subsampling_in_expectation

Example code for "Training a Subsampling Mechanism in Expectation"

Language:Jupyter NotebookApache-2.0300

alignment-search-icassp2016

ICASSP 2016 paper, "Optimizing DTW-Based Audio-to-MIDI Alignment and Matching"

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pruning_icassp2016

LaTeX source for ICASSP 2016 paper, "Pruning Subsequence Search with Attention-Based Embedding"

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internetarchive

A Python and Command-Line Interface to Archive.org

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ismir2016extracting

LaTeX source for ISMIR 2016 paper "Extracting Ground-Truth Information from MIDI Files: A MIDIfesto"

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librosa

Python library for audio and music analysis

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magenta

Magenta: Music and Art Generation with Machine Intelligence

Language:PythonApache-2.01 10

mido

MIDI Objects for Python

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rnntools

RNN layers for use with nntools

cleverhans

An adversarial example library for constructing attacks, building defenses, and benchmarking both

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compare_gan

Compare GAN code.

Language:PythonApache-2.0030

iaf

Code for reproducing key results in the paper "Improving Variational Inference with Inverse Autoregressive Flow"

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iclr2016feed

Source for "Feed-Forward Networks with Attention Can Solve Some Long-Term Memory Problems"

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mir_eval_service

mir_eval as a web service

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nips_mmml_2015

NIPS Multimodal Machine Learning Workshop 2015 paper

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PixelVAE

Code for the models in "PixelVAE: A Latent Variable Model for Natural Images" (https://arxiv.org/abs/1611.05013

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tensorflow

Computation using data flow graphs for scalable machine learning

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Theano

Theano is a Python library that allows you to define, optimize, and evaluate mathematical expressions involving multi-dimensional arrays efficiently. It can use GPUs and perform efficient symbolic differentiation.

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