GitHub - amazon-archives/amazon-dsstne: Deep Scalable Sparse Tensor Network Engine (DSSTNE) is an Amazon developed library for building Deep Learning (DL) machine learning (ML) models
DSSTNE (pronounced "Destiny") is an open source software library for training and deploying recommendation models with sparse inputs, fully connected hidden layers, and sparse outputs. Models with weight matrices that are too large for a single GPU can still be trained on a single host. DSSTNE has been used at Amazon to generate personalized product recommendations for our customers at Amazon's sc
GitHub - alexa/alexa-avs-sample-app: 2018-01-25 - The AVS Java Sample App is maintenance mode. Please use the AVS Device SDK.
⚠️ Starting January 25, 2018, the AVS Java Sample App will be put into maintenance mode. To leverage the latest Alexa features, please use the AVS Device SDK C++ Sample App, which you can find here. To discuss any specific dependencies on the AVS Java Sample App, feel free to reach out to us here. About the project This project provides a step-by-step walkthrough to help you build a hands-free Ale
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