hwaiho-0552 Goto Github PK

algorithm_interview_notes-chinese

2018/2019/校招/春招/秋招/算法/机器学习(Machine Learning)/深度学习(Deep Learning)/自然语言处理(NLP)/C/C++/Python/面试笔记

an-easy-coding-for-classification

一个非常简单的分类识别code, 可以玩玩, 练练手

bilibili-plus

课程视频、PPT和源代码：侯捷C++系列；台大郭彦甫MATLAB

codinginterviewchinese2

《剑指Offer》第二版源代码

cpp-basic-code-for-fresher

C++ 基础之文件操作相关

darknet

YOLOv4 - Neural Networks for Object Detection (Windows and Linux version of Darknet )

dataset-building

用于模型学习数据的整理

designers-learn-git

为设计师而作的GitHub的快速学习教程

developer-roadmap-zh-cn

在 2020 年成为 Web 开发工程师之路线图 | Roadmap to becoming a web developer in 2020

faster-rcnn.pytorch

A faster pytorch implementation of faster r-cnn

flask

The Python micro framework for building web applications.

insightface

State-of-the-art 2D and 3D Face Analysis Project

k-fold-classification

基于深度卷积神经网络的K折交叉验证classification task

making-custom-data-to-coco_style

For your detection task based on custom dataset, you can use this code to make a coco style. Easily logical code can help you understand what the coco style looks like, and you also can easily modify this code what you want to.

netron

Visualizer for neural network, deep learning, and machine learning models

object-detection-metrics

Most popular metrics used to evaluate object detection algorithms.

project-based-learning

Curated list of project-based tutorials

pyqt5-tutorial-examples

Source code for the ZetCode PyQt5 tutorial

robust-pca-via-non-convex-half-quadratic-regularization

In this paper, we propose a new non-convex regularization term named half-quadratic function to achieve robustness and sparseness for robust principal component analysis, and derive its proximity operator, indicating that the resultant optimization problem can be solved in computationally attractive manner.

tools_for_vision

video-recognition

用于视频识别中数据的处理

viewer

ML models and internal tensors 3D visualizer

visdom

A flexible tool for creating, organizing, and sharing visualizations of live, rich data. Supports Torch and Numpy.