irisxii (ChangNamAn)

ChangNamAn

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irisxii's repositories

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attention-is-all-you-need-pytorch

A PyTorch implementation of the Transformer model in "Attention is All You Need".

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End-to-end-ASR-Pytorch

This is an open source project (formerly named Listen, Attend and Spell - PyTorch Implementation) for end-to-end ASR implemented with Pytorch, the well known deep learning toolkit.

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Fake-Voice-Detection

For "Deep Learning class" at ETHZ. Evaluate how well the fake voice of Barack Obama 1. confuses the voice verification system, 2. can be detected. The report of this project is available at ->

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fastMRI

A large-scale dataset of both raw MRI measurements and clinical MRI images

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FastSpeech2

An implementation of Microsoft's "FastSpeech 2: Fast and High-Quality End-to-End Text to Speech"

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FusionNet-Pytorch

FusionNet: A deep fully residual convolutional neural network for image segmentation in connectomics

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hands-on-time-series-analylsis-python

Source Code for 'Hands-on Time Series Analysis with Python' by B V Vishwas and Ashish Patel

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hifi-gan

HiFi-GAN: Generative Adversarial Networks for Efficient and High Fidelity Speech Synthesis

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KIKI-net

KIKI-net: Cross-domain Neural Networks for Reconstructing Undersampled Magnetic Resonance Images

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KsponSpeech-preprocess

Pre-processing KsponSpeech corpus (Korean Speech dataset) provided by AI Hub.

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logbert

log anomaly detection via BERT

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logdeep

log anomaly detection toolkit including DeepLog

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logparser

A toolkit for automated log parsing [ICSE'19, TDSC'18, DSN'16]

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Meta-TTS

Official repository of https://arxiv.org/abs/2111.04040v1

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OpenNMT-py

Open Source Neural Machine Translation in PyTorch

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pix2pix-pytorch

PyTorch implementation of "Image-to-Image Translation Using Conditional Adversarial Networks".

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pytorch-transformer-kor-eng

Transformer Implementation using PyTorch for Neural Machine Translation (Korean to English)

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Real-Time-Voice-Cloning

Clone a voice in 5 seconds to generate arbitrary speech in real-time

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sign-language-processing.github.io

Documentation and background of sign language processing

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