深度学习

A curated list of MXNet examples, tutorials, papers, conferences and blogs.

Contributing

If you want to contribute to this list and the examples, please open a new pull request.

Table of Contents

• Survey
• Papers
• Talks

Survey

• Neural Volume Rendering: NeRF And Beyond, Dellaert and Yen-Chen, Arxiv 2020 | blog | 

This is a rough list of my favorite deep learning resources. It has been useful to me for learning how to do deep learning, I use it for revisiting topics or for reference. I (Guillaume Chevalier) have built this list and got through all of the content listed here, carefully.

Table of contents

• DL4M summary
• DL4M details
• Code without articles
• Statistics and visualisations

往期案例直播回放：

Also called network representation learning, graph embedding, knowledge embedding, etc.

The task is to learn the representations of the vertices from a given network.

CALL FOR HELP: I'm planning to re-organize the papers with clear classification index in the near future. Please feel free to submit a commit if you find any interesting related work:)

• PyTorch学习教程、手册
• PyTorch视频教程
• NLP&PyTorch实战
• CV&PyTorch实战

实用深度学习和机器学习项目创意的精选列表

• 30 多个想法
• 与学术界和工业界相关
• 范围从初学者友好到研究项目

Contents

• Text - With some topics about Natural language processing

• Forecasting - Most of the topics in this section is about Time Series and similar forecasting challenges

精心策划的深度学习教程、项目和社区列表。

Table of Contents

• Books

• Courses

• Videos and Lectures