Hierarchical self-organizing maps for unsupervised pattern recognition
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Updated
Dec 20, 2019 - Python
Hierarchical self-organizing maps for unsupervised pattern recognition
Python library for classifier calibration
Fruit Classifier with ANN
This project allows the use of machine learning to predict the ingredients of a recipe. In particular, it has been implemented on a poke recipe in which a series of ingredients (i.e. 8) are passed as input and the software returns 2 missing (for example the topping and the sauce). The model used is Multi Target Forest and Scikit Learn ML library
automatically geocode aid projects by applying natural language processing techniques
Human skin detection and segmentation 👨👩👧👦
This Face Recognition System allows adding new faces, training a classifier, and real-time face recognition using a webcam. Built with Python and OpenCV.
Vehicle detection in dash cam video
42 • A guide to implement a linear classification model: logistic regression.
Project for Computational Aspects of Robotics Course from Columbia University's School of Engineering and Applied Science, March 2023
Improving diversity of class-conditional generative networks (cGANs) for image classification, using sample reweighting and boosting techniques
AI Final. A pet that changes behavior as you take care of it
Naive Bayes classifier
Comment classifier model trainer using keras tensorflow, stanza tokenizer and transformers.
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