DeepFovea++: Reconstruction and Super-Resolution for Natural Foveated Rendered Videos (PyTorch).

Fishing relevance classifier for youtube videos based on text and metadata

I am new to artificial intelligence and this is a program I made to test the similarity of an input to a subject, whose data is input at the beginning. I would like to know wether I got the right idea of a machine learning model here and what changes could be made to make it more accurate.

Artificial Intelligence and Machine Learning - Team Project - Dice Wars

all kinds of text classification models and more with deep learning

Prototype provides following functionalities: using CCTV footage, detect whether the distance between two people is more than 6ft or not, predict queue wait time outside the shop and crowd counting.

The code provided is an example of a basic machine learning project. Specifically, it is an implementation of the k-nearest neighbors algorithm to predict the type of iris flower based on user input of the sepal length, sepal width, petal length, and petal width.

Building a Naive Bayes Classifier using math and numpy from scratch

Deplyoing machine learning Web App which utilises OpenAI API to generate image based on text description of the image.