Cardea
An open source automl library for using machine learning in healthcare. (by MLBazaar)
pneumonia_detection
Pneumonia Detection using machine learning - with PyTorch (by wilhelmberghammer)
| Cardea | pneumonia_detection | |
|---|---|---|
| 1 | 2 | |
| 113 | 13 | |
| 0.0% | - | |
| 4.4 | 0.0 | |
| about 2 months ago | almost 2 years ago | |
| Python | Python | |
| MIT License | MIT License |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Cardea
Posts with mentions or reviews of Cardea.
We have used some of these posts to build our list of alternatives
and similar projects.
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Researchers at MIT DAI Lab Have Recently Built Cardea: An Open-Source Machine Learning Framework That Turns Health Care Data Into Insights (Github link included)
Github: https://github.com/MLBazaar/Cardea
pneumonia_detection
Posts with mentions or reviews of pneumonia_detection.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2021-02-25.
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Help with resume! Just graduated (:
Same goes for your pneumonia project. Not a hiring manager although if I got asked by my lead to rate an application, I'd say projects you copy from Google are a big minus and if I find an applicants project on google within a minute, I'd have a lot less confidence in said candidate vs. somebody who is out there producing original projects. 1 really good original project is better and more valuable than 2 or 3 projects from tutorials.
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I wanted to try streamlit, so I trained a model to diagnose lung X-Rays (Pneumonia) and visualised it with streamlit [not hosted]
The model had a ~91% accuracy on a 300 image test set. It had the most problems with false positives (which I guess is better then false negatives🤷‍♂️) --> check confusion matrix in github readme for more
What are some alternatives?
When comparing Cardea and pneumonia_detection you can also consider the following projects:
imbalanced-regression - [ICML 2021, Long Talk] Delving into Deep Imbalanced Regression
streamlit - Streamlit — A faster way to build and share data apps.
ludwig - Low-code framework for building custom LLMs, neural networks, and other AI models
EasyOCR - Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.
datasets - 🤗 The largest hub of ready-to-use datasets for ML models with fast, easy-to-use and efficient data manipulation tools