{"payload":{"pageCount":1,"repositories":[{"type":"Public","name":"ensemble","owner":"uwaterloo-datascience","isFork":true,"description":"model ensemble utility optimized for low barrier integration","allTopics":[],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":0,"issueCount":0,"starsCount":0,"forksCount":2,"license":null,"participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2019-07-12T02:57:01.275Z"}},{"type":"Public","name":"rl-examples","owner":"uwaterloo-datascience","isFork":false,"description":"reinforcement learning implementations","allTopics":[],"primaryLanguage":null,"pullRequestCount":0,"issueCount":0,"starsCount":0,"forksCount":0,"license":null,"participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2019-03-29T03:46:58.626Z"}},{"type":"Public","name":"kaggle-guide","owner":"uwaterloo-datascience","isFork":false,"description":"Guide to using Kaggle with Python and R","allTopics":["guide","datascience"],"primaryLanguage":{"name":"Jupyter Notebook","color":"#DA5B0B"},"pullRequestCount":1,"issueCount":0,"starsCount":3,"forksCount":2,"license":null,"participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2017-09-07T20:30:25.102Z"}},{"type":"Public","name":"r-starter","owner":"uwaterloo-datascience","isFork":false,"description":"This is mostly copy/paste aggregation of r4ds and other guides, and can be used as a template for R starter workshops.","allTopics":[],"primaryLanguage":null,"pullRequestCount":0,"issueCount":0,"starsCount":7,"forksCount":2,"license":null,"participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2017-09-07T03:00:40.547Z"}},{"type":"Public","name":"who-we-are","owner":"uwaterloo-datascience","isFork":false,"description":"","allTopics":[],"primaryLanguage":null,"pullRequestCount":0,"issueCount":0,"starsCount":0,"forksCount":0,"license":null,"participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2017-08-09T00:45:41.659Z"}},{"type":"Public","name":"waterloodatascience.com","owner":"uwaterloo-datascience","isFork":false,"description":"","allTopics":[],"primaryLanguage":{"name":"CSS","color":"#563d7c"},"pullRequestCount":0,"issueCount":0,"starsCount":2,"forksCount":1,"license":"MIT License","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2017-03-31T17:11:56.742Z"}},{"type":"Public","name":"talks","owner":"uwaterloo-datascience","isFork":false,"description":"Resources for various talks given by Waterloo's Data Science Clubs","allTopics":[],"primaryLanguage":null,"pullRequestCount":0,"issueCount":5,"starsCount":5,"forksCount":1,"license":null,"participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2017-01-20T15:04:29.259Z"}},{"type":"Public","name":"Deep-Learning-Papers-Reading-Roadmap","owner":"uwaterloo-datascience","isFork":true,"description":"Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!","allTopics":[],"primaryLanguage":null,"pullRequestCount":0,"issueCount":0,"starsCount":3,"forksCount":7298,"license":null,"participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2016-10-23T19:04:36.479Z"}}],"repositoryCount":8,"userInfo":null,"searchable":true,"definitions":[],"typeFilters":[{"id":"all","text":"All"},{"id":"public","text":"Public"},{"id":"source","text":"Sources"},{"id":"fork","text":"Forks"},{"id":"archived","text":"Archived"},{"id":"template","text":"Templates"}],"compactMode":false},"title":"uwaterloo-datascience repositories"}