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apigateway-stepfunctions-sam

API Gateway and Step function SAM example

customer_segments

Project: Creating Customer Segments using Unsupervised Learning

doubledqn-unityml-agent-banana

dqn-atari-pong

This project explores a deep reinforcement learning technique to train an agent to play atari pong game from OpenAI Gym. OpenAI Gym is a toolkit to develop and compare reinforcement learning algorithms. The learning agent takes raw pixels from the atari emulator and predicts an action that is fed back into the emulator via OpenAI interface. The deep reinforcement learning network used in this project is Deep Q Network (DQN), it took over 10 million episodes to perfectly play and win the game.

httpx-auth-awssigv4

Amazon Web Services version 4 authentication for the Python httpx library

lexaudioclient

machine-learning

Content for Udacity's Machine Learning curriculum

maddpg_tennis

manifests

A repository for Kustomize manifests

mlnd

photo_tools

Python photography tools

pipelines

Machine Learning Pipelines for Kubeflow

ppo-continous-control

puppetbot

PuppetBot is a cloud powered chatter robot (chatbot) written in python. PuppetBot uses AWS Lex as its chatbot engine. AWS Rekognition for face detection. AWS Polly for converting conversations into visemes, which are used as an input to control lip movements.

reinforcement_learning

smartcab

Project: Train a Smartcab How to Drive using Reinforcement Learning

student_intervention

Project : Building a Student Intervention System using Supervised learning