jaywalnut310/Vector-Quantized-Autoencoders

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Python
Created over 5 years ago
Updated over 5 years ago

jaywalnut310/Vector-Quantized-Autoencoders

jaywalnut310

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Tensorflow Implementation of "Theory and Experiments on Vector Quantized Autoencoders"

vits

VITS: Conditional Variational Autoencoder with Adversarial Learning for End-to-End Text-to-Speech

glow-tts

A Generative Flow for Text-to-Speech via Monotonic Alignment Search

MelGAN-Pytorch

A Pytorch Implementation of MelGAN

Jupyter Notebook

waveglow-vqvae

WaveGlow vocoder with VQVAE

Jupyter Notebook

linear-transformer-for-table-recognition

code for participation in ICDAR2021 Table Recognition track (Team Name: LTIAYN = Kaen Context)

Transformer-variations

"Variations of Transformer" running on Tensor2Tensor library

rl-atari-skiing

Solve Skiing-v0 by Using Deep Reinforcement Learning

Jupyter Notebook

Attention-Mechanisms

Implementations of attention mechanisms

Jupyter Notebook

Maths-for-ML

A Storage of mathematical proofs and models

deep-learning-studies

Jupyter Notebook

jaywalnut310.github.io

https://jaywalnut310.github.io/

Byte-Pair-Encoding

Byte Pair Encoding Implementation

Jupyter Notebook

vits-demo

VITS Demo (Conditional Variational Autoencoder with Adversarial Learning for End-to-End Text-to-Speech)

glow-tts-demo