wwwppp121

wwwppp121

Geek Repo

Github PK Tool:Github PK Tool

wwwppp121's repositories

awesome-medphys

A list of open-source software tailored for the Medical Physics domain

Stargazers:0Issues:0Issues:0

awesome-public-datasets

A topic-centric list of HQ open datasets.

License:MITStargazers:0Issues:0Issues:0

Awesome-Super-Resolution

Collect super-resolution related papers, data, repositories

Stargazers:0Issues:0Issues:0

CERR

Matlab/Octave based platform for Radiological Research.

License:LGPL-2.1Stargazers:0Issues:0Issues:0

cs231n.github.io

Public facing notes page

License:MITStargazers:0Issues:0Issues:0

CycleGAN

Software that can generate photos from paintings, turn horses into zebras, perform style transfer, and more.

License:NOASSERTIONStargazers:0Issues:0Issues:0

d2l-zh

《动手学深度学习》:面向中文读者、能运行、可讨论。中英文版被70多个国家的500多所大学用于教学。

License:Apache-2.0Stargazers:0Issues:0Issues:0

DeepLearning-500-questions

深度学习500问,以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述,以帮助自己及有需要的读者。 全书分为18个章节,50余万字。由于水平有限,书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作,联系scutjy2015@163.com 版权所有,违权必究 Tan 2018.06

License:GPL-3.0Stargazers:0Issues:0Issues:0

DoseRTX

Domain knowledge driven 3D radiation dose prediction [PMB'22]

Stargazers:0Issues:0Issues:0

EGSnrc

Toolkit for Monte Carlo simulation of ionizing radiation — Trousse d'outils logiciels pour la simulation Monte Carlo du rayonnement ionisant

License:AGPL-3.0Stargazers:0Issues:0Issues:0

fastai

The fastai deep learning library

License:Apache-2.0Stargazers:0Issues:0Issues:0

geant4

Geant4 toolkit for the simulation of the passage of particles through matter - NIM A 506 (2003) 250-303

License:NOASSERTIONStargazers:0Issues:0Issues:0

gitignore

A collection of useful .gitignore templates

License:CC0-1.0Stargazers:0Issues:0Issues:0

gpt_academic

为ChatGPT/GLM提供实用化交互界面,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chatglm2等本地模型。兼容文心一言, moss, llama2, rwkv, claude2, 通义千问, 书生, 讯飞星火等。

License:GPL-3.0Stargazers:0Issues:0Issues:0

matRad

An open source multi-modality radiation treatment planning sytem

License:NOASSERTIONStargazers:0Issues:0Issues:0
Stargazers:0Issues:0Issues:0

MetaPlanner

MetaPlanner is an open source automated treatment planning method that performs meta-optimization of treatment planning hyperparameters. It is meant for educational/research purposes and supports planning in MatRad using one of their experimental branches.

License:GPL-3.0Stargazers:0Issues:0Issues:0

models

A collection of pre-trained, state-of-the-art models in the ONNX format

License:Apache-2.0Stargazers:0Issues:0Issues:0

MONAI

AI Toolkit for Healthcare Imaging

License:Apache-2.0Stargazers:0Issues:0Issues:0

onnx

Open standard for machine learning interoperability

Language:PythonLicense:Apache-2.0Stargazers:0Issues:0Issues:0

open-kbp

Develop dose prediction models for knowledge-based planning in radiotherapy

License:MITStargazers:0Issues:0Issues:0

open-kbp-opt

Develop plan optimization models for knowledge-based planning in radiotherapy

Language:PythonLicense:MITStargazers:0Issues:0Issues:0

optuna-examples

Examples for https://github.com/optuna/optuna

License:MITStargazers:0Issues:0Issues:0

pydicom

Read, modify and write DICOM files with python code

License:NOASSERTIONStargazers:0Issues:0Issues:0

pylinac

A TG-142 toolkit for doing routine linear accelerator quality assurance

Language:PythonLicense:MITStargazers:0Issues:0Issues:0

pymedphys

A community effort to develop an open standard library for Medical Physics in Python. Building quality transparent software together via peer review and open source distribution. Open code is better science.

License:Apache-2.0Stargazers:0Issues:0Issues:0

pyradise

PyRaDiSe: A Python package for DICOM-RT-based auto-segmentation pipeline construction and DICOM-RT data conversion

License:Apache-2.0Stargazers:0Issues:0Issues:0

radiomics_survival_analysis

Some codes for survival analysis by using clinical and radiomics features

License:MITStargazers:0Issues:0Issues:0

SimpleITK-Notebooks

Jupyter notebooks for learning how to use SimpleITK

License:Apache-2.0Stargazers:0Issues:0Issues:0

uncertainty-baselines

High-quality implementations of standard and SOTA methods on a variety of tasks.

License:Apache-2.0Stargazers:0Issues:0Issues:0