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本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。
This project reproduces the book Dive Into Deep Learning (https://d2l.ai/), adapting the code from MXNet into PyTorch.
Một cuốn sách về Học Sâu đề cập đến nhiều framework phổ biến, được sử dụng trên 300 trường Đại học từ 55 đất nước bao gồm MIT, Stanford, Harvard, và Cambridge.
The Java implementation of Dive into Deep Learning (D2L.ai)
This repository contains Tensorflow 2 code for Attention Mechanisms chapter of Dive into Deep Learning (D2L) book.
Dive to Deep Learning with Pytorch C++ API
Adds a few Quality of Life tweaks to the online educational platform Brightspace Desire2Learn (D2L).
A easy tool to download usc den video using just one right click. Using tampermonkey and node.js
ETL data flows in Domo Analytics for querying D2L Brightspace data sets related to awards, rubrics, quizzes, surveys, gradebook and outcomes
Updated content templates (originally designed by D2L Brightspace) with more accessibility and interactivity with flip cards and knowledge checks
Just the flip cards and knowledge checks (multiple choice, short answer, matching, ordering) from d2l-content-templates as standalone HTML pages
将《动手学深度学习》 原书中MXNet代码实现改为PaddlePaddle实现.
This repo provides Pytorch implementation for codes in the book "Dive Into Deep Learning" (http://d2l.ai/) and course Berkeley STAT 157 (https://courses.d2l.ai), which gives a brief tutorial on deep learning methods.
An angular application to easily view and save, data-sets retrieved using Brightspace APIs. Using a Go backend
Extension to improve the Brightspace/D2L user experience.
Formats and pivots data from D2L Brightspace intelligent agents, outcomes, and survey reports (manual Excel workflows also included)
Slides for Dive into Deep Learning book
This repository contains Tensorflow 2 code for Generative Adversarial Networks chapter of Dive into Deep Learning (D2L) book.
[WIP] Dive into Deep Learning (Vietnamese Version) https://github.com/d2l-ai/d2l-en
A Flow Launcher plugin for students to quickly open Brightspace D2L course pages and other course content from Flow Launcher
Learn from *Dive into Deep Learning*, take notes, and do some modification.
yasnippet snippets for D2L/Brightspace CSV Question format
This is a series of R Programs used to randomly generate questions and answers within WMU's D2L E-learning system. Several nice features are included or in production, such as user-friendly function wrappers and clear comments to outline the code. The final results are thousands of multiple-choice questions as D2L-compatible CSV and JPG files.
SQL for Analytics Builder (Quicksight) to query D2L Brightspace data sets [based on ETL data flows previously used in Domo]
D2L Fusion 2024 Schedule in Excel with Calendar Add links
Simple Component that adds calliper for measuring lengths in an image
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.
Autosave edits to D2L assignment feedback. A Google Chrome Extension / Plugin
Social Media Monitoring for Twitter in python language