Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
---|---|---|---|---|---|---|---|---|---|---|
Sod | 1,651 | a year ago | 5 | other | C | |||||
An Embedded Computer Vision & Machine Learning Library (CPU Optimized & IoT Capable) | ||||||||||
Dltk | 1,293 | 2 years ago | 11 | apache-2.0 | Python | |||||
Deep Learning Toolkit for Medical Image Analysis | ||||||||||
Niftynet | 1,170 | 4 years ago | 98 | apache-2.0 | Python | |||||
[unmaintained] An open-source convolutional neural networks platform for research in medical image analysis and image-guided therapy | ||||||||||
Resnetcam Keras | 245 | 6 years ago | 1 | mit | Python | |||||
Keras implementation of a ResNet-CAM model | ||||||||||
Fasnet | 153 | 7 years ago | 18 | mit | Jupyter Notebook | |||||
CNN archictecture for face anti-spoofing | ||||||||||
Pic Numero | 30 | 5 years ago | mit | Python | ||||||
Project exploring counting objects in images using image analysis and machine learning. | ||||||||||
Histoclean | 13 | 2 years ago | agpl-3.0 | Python | ||||||
HistoClean is a tool for the preprocessing and augmentation of images used in deep learning models. This easy to use application brings together the most popular image processing packages from across the python universe, meaning no more looking at documentation! HistoClean provides real time feedback to augmentations and preprocessing options. This allows users to evaluate their steps before implementation. | ||||||||||
Image Modeling With Keras | 10 | 6 months ago | mit | Jupyter Notebook | ||||||
Understanding images as data, training CNNs, and optimizing their performance, gained the skills to apply deep learning techniques with applications | ||||||||||
Sub Cortical_segmentation | 10 | 7 years ago | 2 | bsd-3-clause | Python | |||||
Sub-cortical brain tissue segmentation using CNN | ||||||||||
Projects | 8 | 5 years ago | Python | |||||||
Leaf Disease Detection using Image Processing and Deep Learning |