Pinned Repositories
Agriculture-Remote-Sensing-Dataset
Datasets related to remote sensing and deep learning 作者主页有remote sensing数据集链接
annotated-s4
Implementation of https://srush.github.io/annotated-s4
arxiv-daily
🎓 Automatically Update Some Fields Papers Daily using Github Actions (Update Every 12th hours)
awesome-attention-mechanism-in-cv
Awesome List of Attention Modules and Plug&Play Modules in Computer Vision
Awesome-Dataset-Distillation
A curated list of awesome papers on dataset distillation and related applications.
awesome-diffusion-categorized
collection of diffusion model papers categorized by their subareas
awesome-free-chatgpt
🆓免费的 ChatGPT 镜像网站列表，持续更新。List of free ChatGPT mirror sites, continuously updated.
awesome-gan-for-medical-imaging
Awesome GAN for Medical Imaging
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.
lane-detection-with-double-convgrus
Lane Detection Model Based on Spatio-Temporal Network with Double ConvGRUs
zhangjy2008327's Repositories
zhangjy2008327/Agriculture-Remote-Sensing-Dataset
Datasets related to remote sensing and deep learning 作者主页有remote sensing数据集链接
zhangjy2008327/arxiv-daily
🎓 Automatically Update Some Fields Papers Daily using Github Actions (Update Every 12th hours)
zhangjy2008327/Awesome-Dataset-Distillation
A curated list of awesome papers on dataset distillation and related applications.
zhangjy2008327/awesome-diffusion-categorized
collection of diffusion model papers categorized by their subareas
zhangjy2008327/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.
zhangjy2008327/Backbones
Clash of Backbones
zhangjy2008327/Griffin
Implementation of Griffin from the paper: "Griffin: Mixing Gated Linear Recurrences with Local Attention for Efficient Language Models"
zhangjy2008327/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
zhangjy2008327/eat_pytorch_in_20_days
Pytorch🍊🍉 is delicious, just eat it! 😋😋
zhangjy2008327/ECPNet
ECPNet implementation code
zhangjy2008327/HierarchicalDet
MICCAI23 & Diffusion-Based Hierarchical Multi-Label Object Detection to Analyze Panoramic Dental X-rays
zhangjy2008327/HyperKAN
Replacement classic layers with KAN Block for Hyperspectral data
zhangjy2008327/Journals-of-Prognostics-and-Health-Management
智能故障诊断和寿命预测期刊（Journals of Intelligent Fault Diagnosis and Remaining Useful Life）
zhangjy2008327/KACNet
zhangjy2008327/mamba
Mamba SSM architecture
zhangjy2008327/Mamba_State_Space_Model_Paper_List
[Mamba-Survey-2024] Paper list for State-Space-Model/Mamba and it's Applications
zhangjy2008327/MambaVision
Official PyTorch implementation of MambaVision: A Hybrid Mamba-Transformer Vision Backbone
zhangjy2008327/Mine-Arxiv
zhangjy2008327/nnUNet
zhangjy2008327/OpenRSSSL
Open-source Remote Sensing Self-Supervised Learning Project
zhangjy2008327/pykan
Kolmogorov Arnold Networks
zhangjy2008327/pytorch
Tensors and Dynamic neural networks in Python with strong GPU acceleration
zhangjy2008327/pytorch-image-models
The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNetV4, MobileNet-V3 & V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more
zhangjy2008327/remote-sensing-images
A lightweight self-supervised learning segmentation model for variable and complex high-resolution remote sensing images
zhangjy2008327/RLSTableCrossplatform
zhangjy2008327/SSLmedicalseg
A deep feature refinement self-supervised learning algorithm for medical image annotation
zhangjy2008327/TARConvGRU-A-Cross-dimension-Spatiotemporal-Model-for-Lane-Detection
This paper is just accepted by IJCNN 2022, and the corresponding codes will be released soon.
zhangjy2008327/TinyML_Papers
TinyML Papers
zhangjy2008327/udlbook
Understanding Deep Learning - Simon J.D. Prince
zhangjy2008327/Vision-Mamba-A-Comprehensive-Survey-and-Taxonomy
Vision Mamba: A Comprehensive Survey and Taxonomy