Topic: d2l Goto Github
Some thing interesting about d2l
Some thing interesting about d2l
d2l,Dive Into Deep Learning (d2l.ai), Using Jax & DeepMind's dm-haiku
User: amrmkayid
d2l,An angular application to easily view and save, data-sets retrieved using Brightspace APIs. Using a Go backend
User: arashout
d2l,This my practise code from reading "Dive into Deep Learning" book. Most of the code follows the book's structure but is implemented with slight differences
User: bartosz-g
d2l,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
User: basicv8vc
Home Page: https://basicv8vc.github.io/Dive-into-DL-OneFlow/
d2l,This repository contains Tensorflow 2 code for Attention Mechanisms chapter of Dive into Deep Learning (D2L) book.
User: biswajitsahoo1111
d2l,This repository contains Tensorflow 2 code for Generative Adversarial Networks chapter of Dive into Deep Learning (D2L) book.
User: biswajitsahoo1111
d2l,Adds a few Quality of Life tweaks to the online educational platform Brightspace Desire2Learn (D2L).
User: chrismooredev
d2l,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.
Organization: d2l-ai
d2l,DarkMode for D2L
User: danielm39
d2l,The Java implementation of Dive into Deep Learning (D2L.ai)
Organization: deepjavalibrary
Home Page: https://d2l.djl.ai
d2l,This project reproduces the book Dive Into Deep Learning (https://d2l.ai/), adapting the code from MXNet into PyTorch.
Organization: dsgiitr
d2l,yasnippet snippets for D2L/Brightspace CSV Question format
User: ephsmith
d2l,Extension to improve the Brightspace/D2L user experience.
User: erunseelie
d2l,A easy tool to download usc den video using just one right click. Using tampermonkey and node.js
User: flyingbearmt
d2l,Study Notes for Dive into Deep Learning using Pytorch. Dive into Deep Learning 中文学习笔记
User: followb1ind1y
d2l,[WIP] Dive into Deep Learning (Vietnamese Version) https://github.com/d2l-ai/d2l-en
User: huyhoang17
d2l,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.
User: ikapenga
d2l,Formats and pivots data from Brightspace by D2L intelligent agents, outcomes, and survey reports (manual Excel workflows also included)
User: jenniferwagner18
d2l,ETL data flows in Domo Analytics for querying Brightspace by D2L data sets related to awards, rubrics, quizzes, surveys, gradebook and outcomes
User: jenniferwagner18
d2l,Updated content templates (originally designed by Brightspace by D2L) with more accessibility and interactivity with flip cards and knowledge checks
User: jenniferwagner18
Home Page: https://jenniferwagner18.github.io/d2l-content-templates/
d2l,Just the flip cards and knowledge checks (multiple choice, short answer, matching, ordering) from d2l-content-templates as standalone HTML pages
User: jenniferwagner18
Home Page: https://jenniferwagner18.github.io/knowledge-checks/
d2l,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.
User: jiahongchen
d2l,learn d2l with clojure
User: kimim
Home Page: http://kimi.im/clj-d2l
d2l,A Flow Launcher plugin for students to quickly open Brightspace D2L course pages and other course content from Flow Launcher
User: navnedia
d2l,Social Media Monitoring for Twitter in python language
User: nemat-al
d2l,Social Media Monitoring for Twitter in python language
User: nemat-allah-aloush
d2l,Slides for Dive into Deep Learning book
User: omaralmighty
d2l,This is an implementation of the "Fast Image Processing with Fully-Convolutional Networks" paper.
User: sai-nandan-desetti
d2l,Dive to Deep Learning with Pytorch C++ API
User: sbrhss
d2l,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。
User: shusentang
Home Page: http://tangshusen.me/Dive-into-DL-PyTorch
d2l,将《动手学深度学习》 原书中MXNet代码实现改为PaddlePaddle实现.
User: tngt
d2l,Learn from *Dive into Deep Learning*, take notes, and do some modification.
User: tomspiano
d2l,D2L Brightspace
Organization: tools4ever-nim
Home Page: https://docs.nimsuite.com/en/integrations/d2l-brightspace.html
d2l,Simple Component that adds calliper for measuring lengths in an image
User: vie74050
Home Page: https://vie74050.github.io/ImageMeasure/
d2l,Brightspace/Desire2Learn's Python "D2LValence_Util" package.
User: wcooley
d2l,Deep Learning basics in Python using NumPy, PyTorch, and TensorFlow/Keras: linear regression, softmax regression, multilayer perceptron, etc.
User: zafarrafii
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