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 (www.d2l.ai), adapting the code from MXNet into PyTorch.

A easy tool to download usc den video using just one right click. Using tampermonkey and node.js

[WIP] Dive into Deep Learning (Vietnamese Version) https://github.com/d2l-ai/d2l-en

An angular application to easily view and save, data-sets retrieved using Brightspace APIs. Using a Go backend

Sync user accounts to d2l lms

Brightspace/Desire2Learn's Python "D2LValence_Util" package.

Practise colabs of self taught deep learning from #d2l

IAM-less AWS API access for humans.

Using the OAuth 2.0 flow to get data from Brightspace APIs.

yasnippet snippets for D2L/Brightspace CSV Question format

This React application can be embedded in D2L/Brightspace LMS to display the leaderboard for awards in your D2L (Brightspace) course.

Nightwatch test for OCSB students to automate their mandatory daily attendance.

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.

Dive Into Deep Learning (d2l.ai), Using Jax & DeepMind's dm-haiku

Dive to Deep Learning with Pytorch C++ API