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Tensorflow-based benchmarks using Convolutional Neural Networks, originally developed by TensorFlow team https://github.com/tensorflow/benchmarks/tree/cnn_tf_v1.10_compatible/scripts/tf_cnn_benchmarks

Self-Supervised Learning for Applications in Bioinformatics.

PyTorch Faster R-CNN Object Detection on Custom Dataset

Here you can find all materials of the workshop such as slides and code examples.

From a supercomputer to a raspberry pi: Doing magic pruning a network!

A Python package to provide seamless functionality for INSerting, UPDating, and DELeting STAC-Metadata toward either pgSTAC or STAC-API.

Please have a look at https://insupdel4stac.readthedocs.io for the documentation.

Tensorflow-based benchmarks using Convolutional Neural Networks, originally developed by TensorFlow team https://github.com/tensorflow/benchmarks/tree/cnn_tf_v1.10_compatible/scripts/tf_cnn_benchmarks

The repository contains the example code used in this workshop.

sciReptor documentation