yyh-huster,github

使用Bert，ERNIE，进行中文文本分类

中文文本分类，TextCNN，TextRNN，FastText，TextRCNN，BiLSTM_Attention，DPCNN，Transformer，基于pytorch，开箱即用。

《动手学深度学习》：面向中文读者、能运行、可讨论。中英文版被60多个国家的400多所大学用于教学。

《Python统计与数据分析实战》课程代码，包含了大部分统计与非参数统计和数据分析的模型、算法。回归分析、方差分析、点估计、假设检验、主成分分析、因子分析、聚类分析、判别分析、对数线性模型、分位回归模型以及列联表分析、非参数平滑、非参数密度估计等各种非参数统计方法。

A PyTorch implementation of DenseNet.

🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐

⭐⭐⭐FightingCV Paper Reading, which helps you understand the most advanced research work in an easier way 🍀 🍀 🍀

Provide normal insulator images captured by UAVs and synthetic defective insulator images.

李宏毅《机器学习》笔记，在线阅读地址：https://datawhalechina.github.io/leeml-notes

《统计学习方法》的代码实现

🎨 ML Visuals contains figures and templates which you can reuse and customize to improve your scientific writing.

Machine Learning

Two Datasets for Power Line Detection in UAV Images

Matplotlib styles for scientific plotting

:book: [译] scikit-learn（sklearn）中文文档

《统计学习方法》笔记-基于Python算法实现

手写实现李航《统计学习方法》书中全部算法

all kinds of text classification models and more with deep learning

Toy models, experiments and random notes on machine learning and deep learning.

aerial images dataset on transmission towers and power lines

yyh-huster Goto Github PK