Fred Mailhot (fmailhot)

fmailhot

Geek Repo

Location:Davis, CA, USA

Twitter:@fmailhot

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Fred Mailhot's repositories

acq_evo_vh_phd

Exemplar model of vowel harmony acquisition

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bandits

Python library for Multi-Armed Bandits

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cdtw

A cython implementation of dynamic time warping

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CNN-for-text-classification

A simple CNN implementation in Keras.

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cnn-l2r

Implementation(s) of Severyn and Moschitti's 2015 CNN L2R model

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fmailhot.github.io

Bits and bites from Fred's brain

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phonRNN

Code for running an RNN network for the purposes of modeling word-level phonotactics, and analyzing the output of this modeling

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python_speech_features

This library provides common speech features for ASR including MFCCs and filterbank energies.

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short-text-classification-bakeoff

Comparing LR and CNN on a simple short text classification task

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deboerVowels

Vowel system simulation based on deBoer (2000)

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dotfiles

My dot files

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dtw

Simple speech recognition using dynamic time warping with examples

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g2p

Grapheme-to-Phoneme transductions that preserve input and output indices!

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intro_machine_learning

Introduction to Machine Learning, a series of IPython Notebook and accompanying slideshow and video

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K-Nearest-Neighbors-with-Dynamic-Time-Warping

Python implementation of KNN and DTW classification algorithm

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kernel_regression

Implementation of Nadaraya-Watson kernel regression with automatic bandwidth selection compatible with sklearn.

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panphon

Python package and data files for manipulating phonological segments (phones, phonemes) in terms of universal phonological features.

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RevisitPinkerAndPrince

Companion Repository for "Recurrent Neural Networks in Linguistic Theory: Revisiting Pinker and Prince (1988) and the Past Tense Debate"

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seqlearn

Sequence learning toolkit for Python

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spectrogram-tutorial

A walkthrough of how to make spectrograms in python that are customized for human speech research.

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tslearn

A machine learning toolkit dedicated to time-series data

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ucrdtw

Python extension for UCR Suite highly optimized subsequence search using Dynamic Time Warping (DTW)

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