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【国赛】【美赛】数学建模相关算法 MATLAB实现(2018年初整理)
🧑🏫 60 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
Use of Attention Gates in a Convolutional Neural Network / Medical Image Classification and Segmentation
:punch: CV中常用注意力模块;即插即用模块;ViT模型. PyTorch Implementation Collection of Attention Module and Plug&Play Module
Summary of related papers on visual attention. Related code will be released based on Jittor gradually.
An interactive deep learning book with code, math, and discussions.
Repository of Vision Transformer with Deformable Attention
医学影像数据集列表
:computer: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
🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐
Marrying Grounding DINO with Segment Anything & Stable Diffusion & BLIP & Whisper & ChatBot - Automatically Detect , Segment and Generate Anything with Image, Text, and Speech Inputs
美赛模型与代码实现,基于python和MATLAB
Pytorch implementation of U-Net, R2U-Net, Attention U-Net, and Attention R2U-Net.
Unet for segmenting Luna-16 dataset. Data analytics course.
Learning materials and codes of MCM/ICM
MCM Models with Python
Medical Image processing
Dependent Multi-Task Learning for the Segmentation of Thoracic Organs at Risk in CT Images
python code style guide book / python 代码、单元测试和项目规范
Simple examples to introduce PyTorch
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
Semi Supervised Learning for Medical Image Segmentation, a collection of literature reviews and code implementations.
SE-ResUnet
[ECCVW 2022] The codes for the work "Swin-Unet: Unet-like Pure Transformer for Medical Image Segmentation"
This repository includes the official project of TransUNet, presented in our paper: TransUNet: Transformers Make Strong Encoders for Medical Image Segmentation.
Official Keras Implementation for UNet++ in IEEE Transactions on Medical Imaging and DLMIA 2018
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.