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Repository for my paper: Dimensional Speech Emotion Recognition Using Acoustic Features and Word Embeddings using Multitask Learning
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PyTorch Implementation of GenerSpeech (NeurIPS'22): a text-to-speech model towards zero-shot style transfer of OOD custom voice.
PyTorch Implementation of Non-autoregressive Expressive (emotional, conversational) TTS based on FastSpeech2, supporting English, Korean, and your own languages.
Official implementation for the paper Fine-grained style control in transformer-based text-to-speech synthesis.
Implementation of "Meta-rPPG: Remote Heart Rate Estimation Using a Transductive Meta-Learner"
Main code of "Remote Heart Rate Measurement from Highly Compressed Facial Videos: an End-to-end Deep Learning Solution with Video Enhancement"
This repository is based on the paper titled "Cascaded Siamese Self-supervised Audio to Video GAN". You can access the paper using the following [link].
implementation of several GANs with pytorch
A lightweight library for Frechet Audio Distance calculation.
Implementation of Siamese Networks for image one-shot learning by PyTorch, train and test model on dataset Omniglot
Example of one shot learning and few shot learning with omniglot dataset.
Few Shot Learning by Siamese Networks, using Keras.
Echocardiography Translation in Training System
About Code release for "Autoformer: Decomposition Transformers with Auto-Correlation for Long-Term Series Forecasting" (NeurIPS 2021), https://arxiv.org/abs/2106.13008
A professionally curated list of awesome resources (paper, code, data, etc.) on transformers in time series.
Official Pytorch implementation of "DivCo: Diverse Conditional Image Synthesis via Contrastive Generative Adversarial Network" (CVPR'21)
Freeze the Discriminator: a Simple Baseline for Fine-Tuning GANs (CVPRW 2020)
short implementation of WGAN with gradient penalty
PyTorch implementation of C-RNN-GAN for Music Generation
Implementation of Diversity-Sensitive Conditional Generative Adversarial Networks (ICLR 2019)
A machine translation reading list maintained by Tsinghua Natural Language Processing Group