kangzi's starred repositories
3D-PointCloud
Papers and Datasets about Point Cloud.
Convolutional-KANs
This project extends the idea of the innovative architecture of Kolmogorov-Arnold Networks (KAN) to the Convolutional Layers, changing the classic linear transformation of the convolution to learnable non linear activations in each pixel.
awesome-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 Network field.
efficient-kan
An efficient pure-PyTorch implementation of Kolmogorov-Arnold Network (KAN).
xLSTM-UNet-PyTorch
Replacing Mamba with xLSTM! It works better. We show that xLSTM-Unet can be an effective semantic segmentation backbone.
Mamba-UNet
Mamba-UNet Zoo
Awesome-Mamba-Papers
Awesome Papers related to Mamba.
nd-Mamba2-torch
Only implemented through torch: "bi - mamba2" , "vision- mamba2 -torch". support 1d/2d/3d/nd and support export by jit.script/onnx;
MedSegDiff
Medical Image Segmentation with Diffusion Model
ChineseResearchLaTeX
**科研常用LaTeX模板集
hello-algo
《Hello 算法》：动画图解、一键运行的数据结构与算法教程。支持 Python, Java, C++, C, C#, JS, Go, Swift, Rust, Ruby, Kotlin, TS, Dart 代码。简体版和繁体版同步更新，English version ongoing
usingcli-book
像黑客一样使用命令行
lx-music-desktop
一个基于 electron 的音乐软件
DeepLearning-500-questions
深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系scutjy2015@163.com 版权所有，违权必究 Tan 2018.06
academicpages.github.io
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
Machine_Learning_Resources
:fish::fish::fish: 机器学习面试复习资源
English-Writing
Enhance Your English Writing for Science Research 写论文英语素材
Awesome-PyTorch-Chinese
【干货】史上最全的PyTorch学习资源汇总
pytorch-handbook
pytorch handbook是一本开源的书籍，目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门，其中包含的Pytorch教程全部通过测试保证可以成功运行
thorough-pytorch
PyTorch入门教程，在线阅读地址：https://datawhalechina.github.io/thorough-pytorch/
Efficient-AI-Backbones
Efficient AI Backbones including GhostNet, TNT and MLP, developed by Huawei Noah's Ark Lab.
MIT-Linear-Algebra-Notes
MLNLP: Notes for MIT-Linear-Algebra
pytorch-tutorial
PyTorch Tutorial for Deep Learning Researchers