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You like pytorch? You like micrograd? You love tinygrad! ❤️
Pytorch 3D U-Net Convolution Neural Network (CNN) designed for medical image segmentation
✔（已完结）最全面的 深度学习 笔记【土堆 Pytorch】【李沐 动手学深度学习】【吴恩达 深度学习】
The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (V…
Semantic segmentation models with 500+ pretrained convolutional and transformer-based backbones.
Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch
A paper list of some recent Transformer-based CV works.
[ICCV 2023] CLIP-Driven Universal Model; Rank first in MSD Competition.
[IEEE TMI-2024] UNETR++: Delving into Efficient and Accurate 3D Medical Image Segmentation
Practice your pandas skills!
Implementations of recent research prototypes/demonstrations using MONAI.
3D U-Net model for volumetric semantic segmentation written in pytorch
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…
[ICLR 2024 Oral] Supervised Pre-Trained 3D Models for Medical Image Analysis (9,262 CT volumes + 25 annotated classes)
A lightweight adapter bridges SAM with medical imaging [MedIA]
Official Implementation of SegFormer3D: an Efficient Transformer for 3D Medical Image Segmentation (CVPR/W 2024)
Official repository of CVPR 2024 paper "EMCAD: Efficient Multi-scale Convolutional Attention Decoding for Medical Image Segmentation"
An All-MLP solution for Vision, from Google AI
Curated list of chatgpt prompts from the top-rated GPTs in the GPTs Store. Prompt Engineering, prompt attack & prompt protect. Advanced Prompt Engineering papers.
Wavelet Convolutions for Large Receptive Fields. ECCV 2024.
[ECCVW 2022] The codes for the work "Swin-Unet: Unet-like Pure Transformer for Medical Image Segmentation"
Segment Anything in Medical Images
A framework for data augmentation for 2D and 3D image classification and segmentation
Official Code for *Mixed Transformer UNet for Medical Image Segmentation*
Repository for "CAFF-DINO: Multi-spectral object detection transformers with cross-attention features fusion" [Helvig et al.], accepted in the 20 th IEEE Workshop Perception Beyond the Visible Spec…