rf5 Goto Github PK
Name: Matthew Baas
Type: User
Bio: Electronic Engineering PhD student at Stellenbosch University. I'm interested in speech synthesis and generative speech models.
Location: Stellenbosch
Blog: https://rf5.github.io
Matthew Baas's Projects
audio_dbert
A general audio embedding model submitted for the HEAR 2021 challenge.
bitcoin-task-bounty
Spurring & cultivating Bitcoin development
curvenet
Official implementation of "Walk in the Cloud: Learning Curves for Point Clouds Shape Analysis", ICCV 2021, adapted for easier inference
danbooru-pretrained
Pretrained pytorch models for the Danbooru2018 dataset
diffwave-unconditional
Pytorch Reimplementation of DiffWave unconditional generation: a high quality waveform synthesizer.
experiment-k
Random experiments, data, and testing 'out-there' ideas involving machine learning and stats
fastai-telegram-callback
A fastai training callback that messages you the metrics on telegram after each epoch
hierspeechpp
Fork of HierSpeechpp with torchhub integration
lmao
Language Model Accessor Object - Neural autocomplete for Overleaf
mos-finetune-ssl
MOS predictor network with torchhub integration
nuwave2
NU-Wave 2: A General Neural Audio Upsampling Model for Various Sampling Rates @ INTERSPEECH 2022
scudstorm
Scudstorm - Genetic algorithm for training a bot in Entelect's 2018 tower defense game
sidelight
Sidelight GPU monitor - lightweight realtime Nvidia GPU statistics monitor
simple-asgan
Training code and trained checkpoints for ASGAN.
simple-autovc
A simple, performant re-implementation of AutoVC
simple-diffwave
DiffWave, adapted to be simple to use and train.
simple-pi-motion
Simple Raspberry Pi with camera module motion detection with Telegram notification
simple-sashimi
A simple-to-use standalone Pytorch implementation of the SaShiMi speech synthesis model
simple-speaker-embedding
A speaker embedding network in Pytorch that is very quick to set up and use for whatever purposes.
simple-speech-commands
A pretrained Pytorch classifier for the Google Speech Commands dataset that is very quick to set up and use.
tf-logging-util
A simple script for setting the level of internal tensorflow logging to standard output
transfusion-asr
Transcribing Speech with Multinomial Diffusion, training code and models.
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