Showing 21-37 of 37 projects
A refreshing functional take on deep learning, compatible with popular ML libraries like TensorFlow and PyTorch.
An interactive book on deep learning with MXNet, suitable for vibe coders
An easy-to-use natural language processing library built on the Gluon deep learning framework.
A comprehensive course on accelerated natural language processing using AWS cloud services and tools.
An MXNet implementation of Mask R-CNN, a deep learning object detection and segmentation algorithm.
AI on Hadoop for developers to build and deploy machine learning models
A Jupyter Notebook-based course on accelerated computer vision using AWS Machine Learning University.
A library of code samples and examples for deep learning and computer vision, targeting beginners.
A collaboration workspace for Machine Learning, supporting popular ML frameworks and enabling reproducible workflows.
A toolbox to generate adversarial examples that fool neural networks in various ML frameworks.
A collection of pre-trained computer vision models for developers building AI-powered applications.
nGraph is an open-source deep learning compiler framework that optimizes performance for various AI/ML models and runtimes.
A comprehensive curriculum for learning machine learning and AI development in Python.
End-to-end Chinese license plate recognition using MXNet, a machine learning framework.
A collection of Jupyter Notebook tutorials for accelerated tabular data machine learning in Python.
A C++ library for building deep learning models, now deprecated in favor of the MXNet framework.
A tool for serving neural network models for inference, built with Java and supporting various AI frameworks.
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