Matthew Baas's repositories

danbooru-pretrained

Pretrained pytorch models for the Danbooru2018 dataset

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simple-speaker-embedding

A speaker embedding network in Pytorch that is very quick to set up and use for whatever purposes.

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transfusion-asr

Transcribing Speech with Multinomial Diffusion, training code and models.

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simple-asgan

Training code and trained checkpoints for ASGAN.

simple-autovc

A simple, performant re-implementation of AutoVC

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lmao

Language Model Accessor Object - Neural autocomplete for Overleaf

simple-sashimi

A simple-to-use standalone Pytorch implementation of the SaShiMi speech synthesis model

DiffWave-unconditional

Pytorch Reimplementation of DiffWave unconditional generation: a high quality waveform synthesizer.

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Experiment-K

Random experiments and testing 'out-there' ideas w.r.t machine learning and optimization

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HierSpeechpp

Fork of HierSpeechpp with torchhub integration

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mos-finetune-ssl

MOS predictor network with torchhub integration

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simple-diffwave

DiffWave, adapted to be simple to use and train.

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simple-speech-commands

A pretrained Pytorch classifier for the Google Speech Commands dataset that is very quick to set up and use.

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audio_dbert

A general audio embedding model submitted for the HEAR 2021 challenge.

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bitcoin-task-bounty

Spurring & cultivating Bitcoin development

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CurveNet

Official implementation of "Walk in the Cloud: Learning Curves for Point Clouds Shape Analysis", ICCV 2021, adapted for easier inference

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fastai-telegram-callback

A fastai training callback that messages you the metrics on telegram after each epoch

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nuwave2

NU-Wave 2: A General Neural Audio Upsampling Model for Various Sampling Rates @ INTERSPEECH 2022

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scudstorm

Scudstorm - Genetic algorithm for training a bot in Entelect's 2018 tower defense game

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sidelight

Sidelight GPU monitor - lightweight realtime Nvidia GPU statistics monitor

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simple-pi-motion

Simple Raspberry Pi with camera module motion detection with Telegram notification

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tf-logging-util

A simple script for setting the level of internal tensorflow logging to standard output

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