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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
A easy tool to download usc den video using just one right click. Using tampermonkey and node.js
Adds a few Quality of Life tweaks to the online educational platform Brightspace Desire2Learn (D2L).
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
An angular application to easily view and save, data-sets retrieved using Brightspace APIs. Using a Go backend
yasnippet snippets for D2L/Brightspace CSV Question format
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.
Slides for Dive into Deep Learning book
Learn from *Dive into Deep Learning*, take notes, and do some modification.
Extension to improve the Brightspace/D2L user experience.
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.
Formats and pivots data from Brightspace by D2L intelligent agents and survey reports
Dive Into Deep Learning (d2l.ai), Using Jax & DeepMind's dm-haiku
Using the OAuth 2.0 flow to get data from Brightspace APIs.
本项目用OneFlow实现《动手学深度学习 第二版》(Dive into Deep Learning)中的代码
Practise colabs of self taught deep learning from #d2l
Brightspace/Desire2Learn's Python "D2LValence_Util" package.