A modified CNN architecture using Kolmogorov-Arnold Networks

Source code for Neural Information Processing Systems (NeurIPS) 2018 paper "Multi-Task Learning as Multi-Objective Optimization"

This is the code for paper “accelerating communication-efficient federated multi-task learning with personalization and Fairness”. Besides, we compared them with other accelerated methods: FedMom F…

An efficient pure-PyTorch implementation of Kolmogorov-Arnold Network (KAN).

A comprehensive collection of KAN(Kolmogorov-Arnold Network)-related resources, including libraries, projects, tutorials, papers, and more, for researchers and developers in the Kolmogorov-Arnold N…

Generating seismic data and associated labels to train deep learning networks.

各类闲书分享（equb版本，ipad可直接打开阅读）

2021年最新总结，推荐工程师合适读本，计算机科学，软件技术，创业，思想类，数学类，人物传记书籍

Terrain topology algorithms in Unity

A PyTorch framework for medical image segmentation

[IEEE TMI-2024] UNETR++: Delving into Efficient and Accurate 3D Medical Image Segmentation

[MICCAI 2023] Official code repository of paper titled "Frequency Domain Adversarial Training for Robust Volumetric Medical Segmentation" accepted in MICCAI 2023 conference.

Easy-to-use image segmentation library with awesome pre-trained model zoo, supporting wide-range of practical tasks in Semantic Segmentation, Interactive Segmentation, Panoptic Segmentation, Image …

The code shows method to used transfer learning through dimensionally expansion from 2D CNN models to its 3D CNN Counter parts

🧑‍🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), ga…

这是一个segformer-pytorch的源码，可以用于训练自己的模型。

OpenMMLab Semantic Segmentation Toolbox and Benchmark.

Official PyTorch implementation of SegFormer

Official code for Conformer: Local Features Coupling Global Representations for Visual Recognition

Project demo of using pretrained ViT model (trained on ImageNet) on the Custom dataset

Classification of bird species using ViT model for transfer learning

A backup for my Bachelor's Project regarding Transfer Learning using Vision Transformers

Code for Transfer Learning book--《迁移学习导论》配套代码

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

Collection for Few-shot Learning

Using keras and tf build MAML

Code for "Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks"

Very simple pytorch maml implement