Example notebooks that show how to apply machine learning, deep learning and reinforcement learning in Amazon SageMaker

Image augmentation for machine learning experiments.

Python Library for Probabilistic Graphical Models

A fast and scalable x86-64 multicore simulator

Enabling Flexible FPGA High-Level Synthesis of Tensorflow Deep Neural Networks

Mirror of Apache Kafka

Reference Lambda function that predicts image labels for a image using an MXNet-built deep learning model. The repo also has pre-built MXNet, OpenCV libraries for use with AWS Lambda.

An implementation of map reduce for FPGAs

CAES Language for Synchronous Hardware

The MyHDL development repository

The root repo for lowRISC project and FPGA demos.