The Java implementation of Dive into Deep Learning (D2L.ai)
A fully customizable, student-made UI extension for USC's Brightspace (D2L) platform.
Study notes and notebooks from the d2ai book, in Pytorch.
ETL data flows in Domo Analytics for querying D2L Brightspace data sets related to awards, rubrics, quizzes, surveys, gradebook and learning outcomes
Code notebooks and learning notes for Dive into Deep Learning (动手学深度学习), following the PyTorch version. This repo records my hands-on experiments, key concepts, and implementation details as I progress through each chapter.
D2L Brightspace Custom Widget using .csv's and API's
Julia Implementation of Dive Into Deep Learning
Demonstrate how to integrate a Node.js-based LTI 1.3 tool using ltijs with Brightspace LMS. The final result enables a static HTML UI to be launched via "Insert Stuff" using Deep Linking, hosted on Google Cloud Run {GCP} with MongoDB Atlas.
A Flow Launcher plugin for students to quickly open Brightspace D2L course pages and other course content from Flow Launcher
Uses D2L grade export CSV file with "Calculated Final Grade Scheme Symbol" and "Email" columns to filter out students by grade ranges, generating a mailing list for those students.
This project reproduces the book Dive Into Deep Learning (https://d2l.ai/), adapting the code from MXNet into PyTorch.
Autosave edits to D2L assignment feedback. A Google Chrome Extension / Plugin
Social Media Monitoring for Twitter in python language
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