The purpose of this tutorial is to learn how to install and prepare TensorFlow framework to train your own convolutional neural network object detection classifier for multiple objects, starting from scratch
Implementation of the Apriori and Eclat algorithms, two of the best-known basic algorithms for mining frequent item sets in a set of transactions, implementation in Python
Julia client for OmniSci GPU-accelerated SQL engine and analytics platform
Classes enabling finmath-lib to run its Monte-Carlo models on Cuda GPUs