146 Open source projects that are alternatives of or similar to DenseNet-MURA-PyTorch

Julia package for reading and writing DICOM (Digital Imaging and Communications in Medicine) files

Powerful rapid automatic EDA and feature engineering library with a very easy to use API 🌟

Image-based COVID-19 diagnosis. Links to software, data, and other resources.

Notes and tutorials on how to use python, pandas, seaborn, numpy, matplotlib, scipy for data science.

Jared Kushner and his partners used a program meant for job-starved areas to build a luxury skyscraper

skimpy is a light weight tool that provides summary statistics about variables in data frames within the console.

Using yolo v3 object detection on ios platform.

Data Inspector is an open-source python library that brings 15++ types of different functions to make EDA, data cleaning easier.

A collection of scripts written to complete DQLab Data Analyst Career Track 📊

采用深度学习方法进行刀具识别。

Emory BMI GSoC Project Ideas

Transfer Learning with DCNNs (DenseNet, Inception V3, Inception-ResNet V2, VGG16) for skin lesions classification

Using DenseNet for human pose estimation based on TensorFlow.

Intelligent Word Embeddings of Free-Text Radiology Reports

Densely Connected Convolutional Network implementation by Chainer

👀 Tobii Eye Tracker 4C Setup

Insurance fraud claims analysis project

🏥 OpenMRS Radiology Module

Predict the status of a genetic biomarker important for brain cancer treatment

Reimplementation of DenseNet

A PyTorch Implementation of "Densely Connected Convolutional Networks"

A list of popular deep learning models related to classification, segmentation and detection problems

Train DenseNet on Cifar-10 based on Keras

MONAI Deploy aims to become the de-facto standard for developing, packaging, testing, deploying and running medical AI applications in clinical production.

Replace FC2, LeNet-5, VGG, Resnet, Densenet's full-connected layers with MPO

Librería para la evaluación de calidad de datos, e interacción con el portal de datos.gov.co

Single cell analysis in the browser

Data analysis and visualization with PyData ecosystem: Pandas, Matplotlib Numpy, and Seaborn

Fully supervised binary classification of skin lesions from dermatoscopic images using an ensemble of diverse CNN architectures (EfficientNet-B6, Inception-V3, SEResNeXt-101, SENet-154, DenseNet-169) with multi-scale input.

PyTorch to Keras model convertor

Gluon to PyTorch deep neural network model converter

Pytorch implementation for SRDenseNet (ICCV2017)

用python做计算机视觉，人工智能，机器学习，深度学习等

3D DenseNet(torch version) for ModelNet40 dataset

Speech command recognition DenseNet transfer learning from UrbanSound8k in keras tensorflow

Niffler: A DICOM Framework for Machine Learning and Processing Pipelines.

Anonymized dataset of COVID-19 cases with a focus on radiological imaging. This includes images (x-ray / ct) with extensive metadata, such as admission-, ICU-, laboratory-, and patient master-data.

No description or website provided.

Analyse academic and non-academic information of students and predict grades

ADENINE: A Data ExploratioN PipelINE

Kaggle Kernels (Python, R, Jupyter Notebooks)

WolfPACS is an DICOM load balancer written in Erlang.

For all those who're struggling to find a good hands-on resource (with case studies) to master their Data Science skills, Here's all what you need!

Radiology Objects in COntext (ROCO): A Multimodal Image Dataset

This repo consists of the projects that I completed as a part of the Udacity's Data Analyst Nanodegree's curriculum.

Multimodal Machine Learning-based Knee Osteoarthritis Progression Prediction from Plain Radiographs and Clinical Data

Combining Automatic Labelers and Expert Annotations for Accurate Radiology Report Labeling Using BERT

Exploratory, Inferential and Predictive data analysis. Feel free to show your ❤️ by giving a star ⭐

Classification of Breast Cancer diagnosis Using Support Vector Machines

📌 This repo. Contains Basic - Advance level Machine learning / business analysis Projects. 👨‍💻

Step-by-step exploratory movement data analysis protocol in a Jupyter notebook

A collection of deep learning models (PyTorch implemtation)

A Toolkit for Interactive Statistical Data Visualization

MetaOmGraph: a workbench for interactive exploratory data analysis of large expression datasets

Solution of the Titanic Kaggle competition

OlliePy is a python package which can help data scientists in exploring their data and evaluating and analysing their machine learning experiments by utilising the power and structure of modern web applications. The data scientist only needs to provide the data and any required information and OlliePy will generate the rest.

Code for PerCom Workshop paper title 'Edge2Guard: Botnet Attacks Detecting Offline Models for Resource-Constrained IoT Devices'

Computer vision library for wildfire detection

我的笔记和Demo，包含分类，检测、分割、知识蒸馏。

The furniture R package contains table1 for publication-ready simple and stratified descriptive statistics, tableC for publication-ready correlation matrixes, and other tables #rstats