• 1
• 0
• 0

LG/DeepLearning

Python for “Deep Learning”，该书为《深度学习》(花书) 数学推导、原理剖析与源码级别代码实现

• 1
• 0
• 0

LG/rCharts

Interactive JS Charts from R

• 1
• 0
• 0

LG/InterpretableMLBook

《可解释的机器学习--黑盒模型可解释性理解指南》，该书为《Interpretable Machine Learning》中文版

• 1
• 0
• 0

LG/learning-r-programming-code-data

Code and Data for Learning R Programming book

• 1
• 0
• 0

LG/QuickLook

Bring macOS “Quick Look” feature to Windows

• 1
• 0
• 0

LG/r4ds

R for data science: a book

• 1
• 0
• 0

LG/Beautiful-Visualization-with-R

《R语言数据可视化之美》配套代码

• 1
• 0
• 0

LG/Data-Science-in-Action-R-Tools-and-Case-Studies

• 1
• 0
• 0

LG/R_ETL

R语言数据预处理：ETL工程

• 1
• 0
• 0

LG/PyTorchZeroToAll

Simple PyTorch Tutorials Zero to ALL!

• 1
• 0
• 0

LG/pytorch-book

PyTorch tutorials and fun projects including neural talk, neural style, poem writing, anime generation (《深度学习框架PyTorch：入门与实战》)

• 1
• 0
• 0

LG/pytorch-handbook

pytorch handbook是一本开源的书籍，目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门，其中包含的Pytorch教程全部通过测试保证可以成功运行

• 1
• 0
• 0

LG/Dive-into-DL-PyTorch

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。

• 1
• 0
• 0

LG/d2l-pytorch

This project reproduces the book Dive Into Deep Learning (www.d2l.ai), adapting the code from MXNet into PyTorch.

• 2
• 1
• 1

LG/Dive-into-DL-TensorFlow2.0

本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为TensorFlow 2.0实现，项目已得到李沐老师的同意

• 1
• 0
• 0

LG/vaex-examples

Examples of using vaex

• 2
• 0
• 1

LG/TensorFlow-2.x-Tutorials

TensorFlow 2.x version's Tutorials and Examples, including CNN, RNN, GAN, Auto-Encoders, FasterRCNN, GPT, BERT examples, etc. TF 2.0版入门实例代码，实战教程。