imics-lab / tts-cgan

TTS-GAN: A Transformer-based Time-Series Generative Adversarial Network

Source code for self-supervised EEG data transfer learning

The repository contains source code and data from the paper titled "Recurrence and Self-Attention vs the Transformer for Time-Series Classification: A Comparative Study".

Image classification using medical dataset

深度学习模型调优指南

This repository demonstrates the utilization of UNETR for brain tumor segmentation.

Data augmentation using Conditional Generative Adversarial Networks (cGAN)

#计算机科学#《深度学习入门-基于Python的理论与实现》，包含源代码和高清PDF(带书签)；慕课网imooc《深度学习之神经网络(CNN-RNN-GAN)算法原理-实战》；《菜菜的机器学习sklearn》

Official PyTorch Implementation of "Scalable Diffusion Models with Transformers"

#算法刷题#A package for decomposing multi-channel EMG signals into individual motor unit activity.

AugmentTS :: Time Series Data Augmentation using Deep Generative Models

#Awesome#A collection of awesome resources in Human Pose estimation.