”数学不难“ 之 《线性代数》；每周上传一个视频，一组对应的学习资料（trying my best，争取不鸽)！欢迎大家批评指正！能不能出书，要看能不能写完...

🤱🏻 Turn any webpage into a desktop app with Rust. 🤱🏻 利用 Rust 轻松构建轻量级多端桌面应用

一款部署于云端或本地的隧道代理池中间件，可将静态代理IP灵活运用成隧道IP，提供固定请求地址，一次部署终身使用

🧑‍🚀 An identity and access management (IAM) infrastructure with authentication, authorization, MFA, SSO, user management, and multi-tenancy features. Supports OAuth 2.0, OIDC, and SAML. No framewor…

A system for assigning and grading notebooks

canvas图片水印，用于身份证等个人信息添加仅用于XXX等字样保护个人信息

The only web-scale, fully customizable OpenID Certified™ OpenID Connect and OAuth2 Provider in the world. Become an OpenID Connect and OAuth2 Provider over night. Written in Go, cloud native, headl…

A simple python module to make it easy to batch convert DICOM files to PNG images.

Digital Eye for Mammography Toolkit and Benchmark

Mammographic images classification.

I used histopathology images for image classification. There are two main type of cancer, In that four sub-type are in each type. I built 3 different model. I developed my own convolutional neural …

A novel self-supervised feature extraction method using omics data is proposed which improves classification in most of the classifiers.

A Flask based web application to predict breast cancer.

Virtual Machine for the Web

PDF scientific paper translation with preserved formats - 基于 AI 完整保留排版的 PDF 文档全文双语翻译，支持 Google/DeepL/Ollama/OpenAI 等服务，提供 CLI/GUI/Docker/Zotero

你知道我要说什么

Mirror of https://gitlab.com/cleanflash/installer/-/releases

SegNet-cGAN and UNET-cGAN for Breast Mammography Segmentation

📙慢慢整理所学的机器学习算法，并根据自己所理解的样子叙述出来。(注重数学推导)

Deep Learning to Improve Breast Cancer Detection on Screening Mammography

Code implementation of the paper "WAVE: Weighted Autoregressive Varying Gate for Time Series Forecasting"

Slurm: A Highly Scalable Workload Manager

Determined is an open-source machine learning platform that simplifies distributed training, hyperparameter tuning, experiment tracking, and resource management. Works with PyTorch and TensorFlow.

This repository was used to develop Mirai, the risk model described in: Towards Robust Mammography-Based Models for Breast Cancer Risk.

Developing Deep Learning Models for Mammography

This repository contains a reading list of papers on Time Series Forecasting/Prediction (TSF) and Spatio-Temporal Forecasting/Prediction (STF). These papers are mainly categorized according to the …