yjlolo

yjlolo

Geek Repo

Company:C4DM, Queen Mary University of London

Location:London

Home Page:https://yjlolo.github.io/

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yjlolo's repositories

vae-audio

Variational auto-encoders for audio

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gmvae-synth

Reproducing code for Learning Disentangled Representations of Timbre and Pitch for Musical Instrument Sounds Using Gaussian Mixture Variational Autoencoders

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pytorch-deep-markov-model

PyTorch re-implementation of [Structured Inference Networks for Nonlinear State Space Models, AAAI 17]

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dSEQ-VAE

BAD-VAE: A VAE framework for unsupervised disentanglement of sequential data

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DSAE-VC

Implementation of "Posterior Variance-Parameterised Gaussian Dropout: Improving Disentangled Sequential Autoencoders for Zero-Shot Voice Conversion"

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constant-memory-waveglow

PyTorch implementation of NVIDIA WaveGlow with constant memory cost.

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nlp-roadmap

ROADMAP(Mind Map) and KEYWORD for students those who have interest in learning NLP

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s3prl

Self-Supervised Speech/Sound Pre-training and Representation Learning Toolkit

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benchmark_VAE

Unifying Generative Autoencoder implementations in Python

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c-gmvae

C-GMVAE: Gaussian Mixture VAE with Contrastive Learning for Multi-Label Classification

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coding-interview-university

A complete computer science study plan to become a software engineer.

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cwvae

Clockwork Variational Autoencoder

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dmelodies_dataset

Dataset to study disentanglement in the context of symbolic music. Published as an ISMIR'20 paper titled: "dMelodies: A Music Dataset for Disentanglement Learning"

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DTWNet

DTWNet: a Dynamic Time Warping Network

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GMVAE

Implementation of Gaussian Mixture Variational Autoencoder (GMVAE) for Unsupervised Clustering

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google-research

Google Research

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models

Models and examples built with TensorFlow

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nn-template

Generic template to bootstrap your PyTorch project with PyTorch Lightning, Hydra, W&B, DVC, and Streamlit.

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nnsvs

Neural network-based singing voice synthesis library for research.

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paper_templates

Repository for paper templates in ISMIR Proceedings

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Probabilistic-Programming-and-Bayesian-Methods-for-Hackers

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

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TTS

Deep learning for Text to Speech

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VaPar-Synth

Code for our paper "VaPar Synth - A Variational Parametric Model for Audio Synthesis"

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WGANSing

Multi-voice singing voice synthesis

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