This is the official code repository for the paper 'Improving Gloss-free Sign Language Translation by Reducing Representation Density'.

This is the offical project for Learning Robust Shape Regularization for Generalizable Medical Image Segmentation

A curated list of papers in Test-time Adaptation, Test-time Training and Source-free Domain Adaptation

This is the code for EEGDnet: Fusing non-local and local self-similarity for EEG signal denoising with transformer

[ICLR 2024 Spotlight] Neuron Activation Coverage: Rethinking Out-of-distribution Detection and Generalization

A curated list of Hypergraph Learning, Hypergraph Theory, Hypergraph Dataset and Hypergraph Tool.

A library for Bayesian neural network layers and uncertainty estimation in Deep Learning extending the core of PyTorch

Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more

Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习

Implementation of handwritten digit classification models trained on MNIST dataset and understanding the No Free Lunch Theorem by testing on USPS Dataset

ThesisUESTC-电子科技大学毕业论文模板

This project is for the paper "TEMDnet: A Novel Deep Denoising Network for Transient Electromagnetic Signal with Signal-to-Image Transformation"

This project is for the paper, TEM-NLnet: A Deep Denoising Network for Transient Electromagnetic Signal with Noise Learning

Deep Graph-Convolutional Image Denoising

Image-to-image translation with conditional adversarial nets

A TensorFlow & Deep Learning online course I taught in 2016

This project is for the paper,A denoising stacked autoencoders for transient electromagnetic signal denoising