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3d-mri-brain-tumor-segmentation-using-autoencoder-regularization

Keras implementation of the paper "3D MRI brain tumor segmentation using autoencoder regularization" by Myronenko A. (https://arxiv.org/abs/1810.11654).

3d_rfultrasound_reconstruction

3D Volume Reconstruction of Raw Ultrasound Radiofrequency Data

ad_prediction

毕业设计项目-基于深度学习的阿兹海默症早期诊断辅助系统设计与实现

ai-learn

人工智能学习路线图，整理近200个实战案例与项目，免费提供配套教材，零基础入门，就业实战！包括：Python，数学，机器学习，数据分析，深度学习，计算机视觉，自然语言处理，PyTorch tensorflow machine-learning,deep-learning data-analysis data-mining mathematics data-science artificial-intelligence python tensorflow tensorflow2 caffe keras pytorch algorithm numpy pandas matplotlib seaborn nlp cv等热门领域

aiwenbeauty

ant-back

:rocket: react后台，后台管理系统

approximate-2d-rf-imaging

This repository is for imaging by inverse reconstruction of the image by received RF signal using different methods: Compressed sensing, Maximum Entropy, and Total Variation. The data generated here is using ray-tracing based models, not as accurate as CST simulation generated data.

awesome-zero-shot-learning

A curated list of papers, code and resources pertaining to zero shot learning

brain-segmentation

Deep learning based skull stripping and FLAIR abnormality segmentation in brain MRI using U-Net

brain-segmentation-pytorch

U-Net implementation in PyTorch for FLAIR abnormality segmentation in brain MRI

brain1

Repository for definitive BRAIN v1

brats20_unet3d_autoencoder

3d unet and 3d autoencoder for automatical segmentation and feature extraction.

break-the-ice-with-python

The repository is about 100+ python programming exercise problem discussed, explained, and solved in different ways

clash

A rule-based tunnel in Go.

coursera-ml-andrewng-notes

吴恩达老师的机器学习课程个人笔记

covidprognosis

COVID deterioration prediction based on chest X-ray radiographs via MoCo-trained image representations

cs-notes

:books: 技术面试必备基础知识、Leetcode、计算机操作系统、计算机网络、系统设计

daily_fresh_demo

生鲜购物网站

dask-cuda

Utilities for Dask and CUDA interactions

deep-learning-for-image-processing

deep learning for image processing including classification and object-detection etc.

deeplearning

devito

Code generation framework for automated finite difference computation

digital_rf

Read, write, and interact with data in the Digital RF and Digital Metadata formats

django-antd-tyadmin

类似 xadmin 的基于Model 快速生成前后台管理增删改查，筛选，搜索的后台管理自动化工具。Antd 界面好看现代化！前后端分离！无损二次开发！由Django Restful Framework 和 Ant Design Pro V4 驱动

droid-slam

dual-awareness-attention-for-few-shot-object-detection

face.evolve.pytorch

🔥🔥High-Performance Face Recognition Library on PyTorch🔥🔥

face_recognition

The world's simplest facial recognition api for Python and the command line

fcnvmb-deep-learning-based-seismic-velocity-model-building

Deep-learning inversion: A next-generation seismic velocity model building method

febeam

FEbeam as part of the FEmaster series is Is a field emission data processing algorithm with a modular design for applications to all RF systems. Additional capabilities include image processing and and postprocessing capabilities. Developed by M. Schneider, E. Jevarjian, J. Shao, & S. V. Baryshev