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A collection of ROM images with tests that will aid you in developing your own CHIP-8, SUPER-CHIP or XO-CHIP interpreter (or "emulator")
Convert Machine Learning Code Between Frameworks
Antel0pe / learn_ruby
Forked from vikingeducation/learn_rubya basic ruby class generated from test-first-teaching
This artificial neural network predicts whether a tumour is benign or malignant.
This is a deep convolutional generative adversarial network designed to generate realistic images based on the CIFAR-10 dataset.
This recurrent neural network picks up on trends in stock prices and tries to predict the next financial day's stock price
This artificial neural network predicts whether a customer will stay with the bank or leave the bank in the next year.
Code for facial recognition, using the Viola-Jones algorithm and Haar like features.
This convolutional neural network classifies what species a monkey is (limited to the 10 most common species)