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Sequence modeling benchmarks and temporal convolutional networks
Reimplementation of the paper Sarkar and Etemad 2020 "Self-Supervised ECG Representation Learning for Emotion Recognition"
🩺 This project aims to detect stress state based on Electrocardiogram
PyTorch-1.0 implementation for the adversarial training on MNIST/CIFAR-10 and visualization on robustness classifier.
Multi-Adversarial Domain Adaptation (https://arxiv.org/abs/1809.02176) implementation in Pytorch-Lightning
Algorithm for Feature Selection
Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch
[ICLR 2023] Factorized Fourier Neural Operators
Artifact Subspace Reconstruction for Python
NSCC is a high-performance computing center in Singapore.
maps between 1-D space filling hilbert curve and N-D coordinates
[TAFFC-2022] PyTorch implementation of TSception v2
Model summary in PyTorch similar to `model.summary()` in Keras
Video-based Remote Physiological Measurement via Cross-verified Feature Disentangling. (ECCV2020 oral)
Gradient Reversal Layer for Domain Adaptation
Implementation of DANN with pytorch
Use ChatGPT to summarize the arXiv papers. 全流程加速科研，利用chatgpt进行论文全文总结+专业翻译+润色+审稿+审稿回复
A PyTorch implementation of the Transformer model in "Attention is All You Need".
范仁义录播课资料，会依次推出各种完全免费的前端、后端、大数据、人工智能等课程，课程网站： https://fanrenyi.com ； b站课程地址： https://space.bilibili.com/45664489 ；
[TNNLS] A Comprehensive Survey of Awesome Visual Transformer Literatures.
Minimal, clean example of lstm neural network training in python, for learning purposes.