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jesus-a-martinez-v

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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 Blur

advanced-lane-lines

Implementation of a pipeline that uses several advanced computer vision techniques to track lane lines on the road.

Python

cifar-10-dl4j

Implementation of an AlexNet architecture in DL4J to make predictions on the classical CIFAR-10 dataset

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CIFAR-10 classifier trained using Auto-Keras.

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Book cover search engine using image keypoints and descriptors.

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Simple implementation of a neural network using only Numpy and Pandas, used to predict bike ridership data.

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Traffic Sign Classifier implemented using a Convolutional Neural Network.

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A set of simple examples of linear algebra using Smile.

Scala

advanced-tensorflow-kotlin

Implementation of an inception model (transfer learning) using TensorFlow Java API in Koltin

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naive-day-night-classifier

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vehicle-detection

Pipeline implemented with several advanced computer vision techniques (such as Histogram of Oriented Gradients) used to detect cars in a video.

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toy-ml

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intro-to-pytorch

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getting-started-with-dl4j

Simple 2-layered feed-forward network trained on MNIST, using Deeplearning4j

Scala

incremental-training-creme

Python

password-checker

Simple script to check if your passwords have been leaked on the Internet

Python

jesus-a-martinez-v/lane-lines

jesus-a-martinez-v

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