Add it to a GitHub README or profile β the card updates as the ranking changes:
π Finding duplicate images made easy!
π Super-scale your images and run experiments with Residual Dense and Adversarial Networks.
Convolutional Neural Networks to predict the aesthetic and technical quality of images.
Image classification for everyone.
π΅οΈββοΈ Interpreting Convolutional Neural Network (CNN) Results.
PHP Kafka client - binding librdkafka via FFI
Workflow that shows how to train neural networks on EC2 instances with GPU support and compares training times to CPUs
Minimal example to setup a Jenkins-CI pipeline for data science projects on OpenShift in a couple of minutes.