Fw4spl
| Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
|---|---|---|---|---|---|---|---|---|---|---|
| Ml Lessons | 171 | 4 years ago | 4 | apache-2.0 | Jupyter Notebook | |||||
| Intro to deep learning for medical imaging lesson, by MD.ai | ||||||||||
| Tutorial Medical Image Registration | 48 | 4 years ago | Jupyter Notebook | |||||||
| Medical Image Registration | ||||||||||
| Fw4spl | 29 | 4 years ago | 5 | C++ | ||||||
| Main repository for fw4spl | ||||||||||
| Tutorials | 24 | 3 years ago | 1 | other | C++ | |||||
| Here, we will be showcasing our seminar series “CPP for Image Processing and Machine Learning” including presentations and code examples. There are image processing and machine learning libraries out there which use C++ as a base and have become industry standards (ITK for medical imaging, OpenCV for computer vision and machine learning, Eigen for linear algebra, Shogun for machine learning). The documentation provided with these packages, though extensive, assume a certain level of experience with C++. Our tutorials are intended for those people who have basic understanding of medical image processing and machine learning but who are just starting to get their toes wet with C++ (and possibly have prior experience with Python or MATLAB). Here we will be focusing on how someone with a good theoretical background in image processing and machine learning can quickly prototype algorithms using CPP and extend them to create meaningful software packages. | ||||||||||
| Qtim_tutorials | 22 | 5 years ago | mit | Jupyter Notebook | ||||||
| Jupyter notebooks and other tutorials for medical imaging and deep learning, courtesy of the QTIM lab. | ||||||||||
| Hello_world_deep_learning | 20 | 6 years ago | Jupyter Notebook | |||||||
| Hello World Introduction to Deep Learning for Medical Image Classification | ||||||||||
| Medical Image Analysis Ipython Tutorials | 18 | 6 years ago | 1 | apache-2.0 | Jupyter Notebook | |||||
| Tree Prediction Tutorial | 17 | 10 months ago | 9 | mit | Jupyter Notebook | |||||
| Tutorial on prediction with medical data using tree based models | ||||||||||
| Deep Learning With Pytorch And Gcp | 16 | 4 years ago | ||||||||
| Tutorial and framework code for deep learning in biomedical applications with PyTorch and (if necessary) Google Cloud Platform. | ||||||||||
| Medicalimaging | 16 | 2 years ago | apache-2.0 | Jupyter Notebook | ||||||
| Tutorials that take an in depth look at how to view and manipulate DICOM images and how to get them ready for machine learning | ||||||||||
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