Compare image similarity using features extracted from the pre-trained VGG16 model. This project leverages cosine similarity for accurate visual similarity assessment, making it ideal for image retrieval and duplicate detection.
MIT License
Skyhawk is a CLI tool that can run on any device with a camera to recognize faces. It is Built us...
The world's simplest facial recognition api for Python and the command line
A fast framework for pre-processing (Cleaning text, Reduction of vocabulary, Feature extraction ...
CV2Filters a powerful Python package designed as a wrapper around OpenCV,cv2Filters simplifies im...
A deep learning project for sentiment analysis on tweets, classifying them into positive, negativ...
building a machine learning model to classify handwritten digits using the MNIST dataset.
Open-source Platform for Engineering Neural Architectures and Research Collaboration. Developing ...
Data Science Hacks consists of tips, tricks to help you become a better data scientist. Data scie...
Implementation of Open-Set Likelihood Maximization for Few-Shot Learning
Keras implementation of RetinaNet object detection.
Human-detection-and-Tracking
A series of convenience functions to make basic image processing operations such as translation, ...
Image Classification tests scripts with Keras / tensorflow
Complete evaluation of traditional "SK-learn like" machine learning models for post-operative com...