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advanced-lane-lines
Implementation of a pipeline that uses several advanced computer vision techniques to track lane lines on the road.cifar-10-dl4j
Implementation of an AlexNet architecture in DL4J to make predictions on the classical CIFAR-10 datasetautoml-autokeras
CIFAR-10 classifier trained using Auto-Keras.book-cover-recognizer
Book cover search engine using image keypoints and descriptors.bike-ridership-nn
Simple implementation of a neural network using only Numpy and Pandas, used to predict bike ridership data.traffic-sign-classifier-cnn
Traffic Sign Classifier implemented using a Convolutional Neural Network.smile-linalg
A set of simple examples of linear algebra using Smile.advanced-tensorflow-kotlin
Implementation of an inception model (transfer learning) using TensorFlow Java API in Koltinnaive-day-night-classifier
vehicle-detection
Pipeline implemented with several advanced computer vision techniques (such as Histogram of Oriented Gradients) used to detect cars in a video.intro-to-pytorch
getting-started-with-dl4j
Simple 2-layered feed-forward network trained on MNIST, using Deeplearning4jlane-lines
Simple pipeline implementation to find lane lines in a fixed set of road images, using some Computer Vision concepts as Canny Edges, Hough Transform and Gaussian Blurincremental-training-creme
password-checker
Simple script to check if your passwords have been leaked on the InternetLove Open Source and this site? Check out how you can help us