AI的博客资料汇总

准确率Accuracy，精确度Precision，召回率Recall，F-Score

The Unreasonable Effectiveness of Recurrent Neural Networks
Understanding LSTM Networks
LSTM implementation explained
A Gentle Introduction to Long Short-Term Memory Networks by Experts
bounding box regression
Book: Neural Networks and Deep Learning
Distill
Region of interest pooling explained
christopher5106
Attention in Neural Networks and How to Use It
Implementing Attend, Infer, Repeat
不得不了解的五种Attention模型方法及其应用

InfoNCE相关
深度学习的互信息：无监督提取特征
噪声对比估计”杂谈：曲径通幽之妙

colah.github.io
Quora: In classification how do you handle an unbalanced training set
Brendan Gregg’s Blog: gdb Debugging Full Example (Tutrotial) : ncurses
模型参数压缩方法
what-is-lr-policy-in-caffe
优化神经网络模型结构新方法
Does batch size matter?
Generator Tricks for Systems Programmers
Makefile编译静态库文件及链接静态库
caffe学习入门：pycaffe的使用
COCO数据集annotation内容
ctc explained
The Illustrated Transformer
The positional Encoding
Linear Relationships in the Transformer’s Positional Encoding
域迁移 Domain Adaptive
Swin Transformer Attention机制的详细推到

中国省市县地区代码一览表
全国省市编码查询

Advanced Bash-Scripting Guide
C++ Tips of the Week
Google C++ Style Guide
C++ Reference

CCF推荐国际学术刊物目录

Linux - Vim编辑器 - 实验楼

Caffe

neural network - What is ‘lr_policy’ in Caffe? - Stack Overflow
梳理caffe代码im2col（十七） - 从入门到放弃 - 博客频道 - CSDN.NET

Git

Git教程 - 廖雪峰的官方网站
Git - Documentation

Python

Numpy Manual
Python开发工具Pycharm个性化设置_脚本之家
菜鸟教程 - Python(暂无法访问，百度直搜“菜鸟教程”)
最简单方法远程调试Python多进程子程序
From Python to Numpy
Boost.Python Toturial
Unofficial Windows Binaries for Python Extension Packages
Python Plotting With Matplotlib(Guide)
2to3 - Automated Python 2 to 3 code translation
python读取LMDB中图像的方法
Python : 如何显示进度条

Docker

Docker Documentation

GNU && GCC

GCC online documentation
The C Preprocessor: Search Path
GNU Mirror List

Nvidia

cuda-gpus 算力
cudnn各版本下载
GenForce: Research Initiative on Generative Modeling
CUDA Toolkit corresponding to cuda driver
TensorRT: Main Page
CUDA Runtime API :: CUDA Toolkit Documentation
Support Matrix:: NVIDIA Deep Learning TensorRT Documentation
Release Notes:: CUDA Toolkit Documentation
TensorRT(1)-介绍-使用-安装

配置文件工具

yaml可视化工具

NLTK数据集下载安装

Python 如何从代码中配置nltk数据目录

下载方法：直接从github上下载

安装方法：
方法一：使用环境变量

export NLTK_DATA=/path/to/nltk_data

方法二：在代码中指定数据目录

import nltk
nltk.data.path.append('/path/to/nltk_data')