jaywalnut310 Goto Github PK
Name: Jaehyeon Kim
Type: User
Blog: jaywalnut310.github.io
Jaehyeon Kim's Projects
attention-mechanisms
Implementations of attention mechanisms
byte-pair-encoding
Byte Pair Encoding Implementation
deep-learning-studies
2017 spring
deepest-face-manipulation-challenge
Deepest Face Manipulation Challenge Baseline
deepest-vae-problem
Simple VAE Problem For Deepest Test
distsup
Representation learning for NLP @ JSALT19
glow-tts
A Generative Flow for Text-to-Speech via Monotonic Alignment Search
glow-tts-demo
Glow-TTS Demo
gmvae_tacotron
Gaussian Mixture VAE Tacotron
jaywalnut310.github.io
https://jaywalnut310.github.io/
label-propagation-with-seq2seq
Label-Propagation-with-Seq2Seq
linear-transformer-for-table-recognition
code for participation in ICDAR2021 Table Recognition track (Team Name: LTIAYN = Kaen Context)
maths-for-ml
A Storage of mathematical proofs and models
melgan-pytorch
A Pytorch Implementation of MelGAN
neuraldialog-laed
PyTorch implementation for Interpretable Dialog Generation, It is released by Tiancheng Zhao (Tony) from Dialog Research Center, LTI, CMU
rl-atari-skiing
Solve Skiing-v0 by Using Deep Reinforcement Learning
tacotron2
Tacotron 2 - PyTorch implementation with faster-than-realtime inference
tensor2tensor
Adding Encoder-decoder attention cache. https://github.com/tensorflow/tensor2tensor/pull/827
transformer-variations
"Variations of Transformer" running on Tensor2Tensor library
vector-quantized-autoencoders
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
vits-demo
VITS Demo (Conditional Variational Autoencoder with Adversarial Learning for End-to-End Text-to-Speech)
waveglow
A Flow-based Generative Network for Speech Synthesis
waveglow-vqvae
WaveGlow vocoder with VQVAE
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