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《赋范大模型技术社区》是针对各阶大模型学习者量身打造的基于各类大模型，包括环境设置、本地部署、高效微调、开发实战等技能在内的全流程指导！
A modular graph-based Retrieval-Augmented Generation (RAG) system
deep learning for image processing including classification and object-detection etc.
Pytorch implementation of ResUnet and ResUnet ++
[CVPR2024] OneFormer3D: One Transformer for Unified Point Cloud Segmentation
pytorch implementation for "PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation" https://arxiv.org/abs/1612.00593
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
a pytorch lib with state-of-the-art architectures, pretrained models and real-time updated results
[IEEE TMI] Official Implementation for UNet++
Densely Connected Convolutional Networks, In CVPR 2017 (Best Paper Award).
Official implementation of "Exploiting Scale-Variant Attention for Segmenting Small Medical Objects"
Theory and PyTorch implementation of Deep Variational Information Bottleneck
an implementation of Deep Variational Informational Bottleneck in pytorch (https://arxiv.org/pdf/1612.00410.pdf)
The offical implementation of "Lightweight Image Super-Resolution with Superpixel Token Interaction" (ICCV2023)
[ICCV2021] Official PyTorch implementation of Segmenter: Transformer for Semantic Segmentation
Use of Attention Gates in a Convolutional Neural Network / Medical Image Classification and Segmentation
Implementing MixNet: Mixed Depthwise Convolutional Kernels using Pytorch
personal toolbox for lidc-idri dataset / lung cancer / nodule
Scenic: A Jax Library for Computer Vision Research and Beyond
🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐
Tianchi medical AI competition [Season 1]: Lung nodules image segmentation of U-Net. U-Net训练基于卷积神经网络的肺结节分割器
Official code for "Boundary loss for highly unbalanced segmentation", runner-up for best paper award at MIDL 2019. Extended version in MedIA, volume 67, January 2021.
EDTER: Edge Detection with Transformer, in CVPR 2022