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为GPT/GLM等LLM大语言模型提供实用化交互接口,特别优化论文阅读/润色/写作体验,模块化设计,支持自定义快捷按钮&函数插件,支持Python和C++等项目剖析&自译解功能,PDF/LaTex论文翻译&总结功能,支持并行问询多种LLM模型,支持chatglm3等本地模型。接入通义千问, deepseekcoder, 讯飞星火, 文心一言, llama2, rwkv, claude2, m…
The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (V…
You like pytorch? You like micrograd? You love tinygrad! ❤️
deep learning for image processing including classification and object-detection etc.
Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch
This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".
Semantic segmentation models with 500+ pretrained convolutional and transformer-based backbones.
OpenMMLab Semantic Segmentation Toolbox and Benchmark.
A collection of loss functions for medical image segmentation
Pytorch implementation of U-Net, R2U-Net, Attention U-Net, and Attention R2U-Net.
This repository includes the official project of TransUNet, presented in our paper: TransUNet: Transformers Make Strong Encoders for Medical Image Segmentation.
✔️李沐 【动手学深度学习】课程学习笔记:使用pycharm编程,基于pytorch框架实现。
💻深度学习实战:手写数字识别、Discuz验证码识别、垃圾分类、语义分割
[ECCVW 2022] The codes for the work "Swin-Unet: Unet-like Pure Transformer for Medical Image Segmentation"
Official PyTorch code for "BAM: Bottleneck Attention Module (BMVC2018)" and "CBAM: Convolutional Block Attention Module (ECCV2018)"
Implementation of different kinds of Unet Models for Image Segmentation - Unet , RCNN-Unet, Attention Unet, RCNN-Attention Unet, Nested Unet
Pytorch 3D U-Net Convolution Neural Network (CNN) designed for medical image segmentation
A pytorch-based deep learning framework for multi-modal 2D/3D medical image segmentation
Code release for ConvNeXt V2 model
A lightweight adapter bridges SAM with medical imaging [MedIA]
Implementations of recent research prototypes/demonstrations using MONAI.
Pytorch implementation of 2D Discrete Wavelet (DWT) and Dual Tree Complex Wavelet Transforms (DTCWT) and a DTCWT based ScatterNet
An All-MLP solution for Vision, from Google AI