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amazon-sagemaker-examples

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

cc-example

Example Repo for Coding Challenge

cglp

chimehack

collabhack

entity-extraction-using-rest

fbpagemanager

help140

140 characters to save your loved ones

information-integration-on-the-web

USC CSCI 548 Information Integration on the Web projects

insightsdatascience15

keyworddensityanalyzer

linkedbasedranking

nlp_univrecommender

partofspeechtagger

priyakotwal.github.io

pytorch-dqn

Deep Q-Learning Network in pytorch (not actively maintained)

pytorch_sac

PyTorch implementation of Soft Actor-Critic (SAC)

reinforcementlearning

Approximate Q-Learning and State Abstraction

spatialdbrepo

surveyrabbitapplication

Backend for a new web-based survey tool called Survey Rabbit. When users login, they have two options: (1) Users with author privileges can create a new survey or edit an existing one; (2) Users with grader or author privileges can click on a survey answer the questions. When authors create or edit a survey, they’re presented a Composer Mode UI where they’re able to specify the survey title and create a sequence of questions using either radio button or checkbox widgets. Each widget has a caption and a comma-separated lists of possible responses, as sketched out below. When graders respond to a survey, the Survey Rabbit client presents the questions, and saves the answers to the database when the user clicks “Save.”

twiliptestapp

webbasedinformationsystem

An e-commerce web based Information System