HaoWangSir's repositories

tf2_course

Notebooks for my "Deep Learning with TensorFlow 2 and Keras" course

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robotics-toolbox-python

Robotics Toolbox for Python

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joyful-pandas

Pandas中文教程

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ImageProcessing100Wen

「画像処理100本ノック」中文版本!为图像处理初学者设计的 100 个问题。

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openpose

OpenPose: Real-time multi-person keypoint detection library for body, face, hands, and foot estimation

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Coursera-ML-AndrewNg-Notes

吴恩达老师的机器学习课程个人笔记

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Reflection_Summary

算法理论基础知识应知应会

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pandas_exercises

Practice your pandas skills!

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Hyperspectral

This repository contains several hyperspectral image analysis algorithms, including unmixing, registration and fusion.

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Event-triggered-controller

Simple examples for Event-triggered control for network controlled system

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neural-networks-and-deep-learning

Code samples for my book "Neural Networks and Deep Learning"

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vue3-bigData

一个基于vue3.0的大数据分析系统,包含各种echarts和vue3.0新API

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casadi

CasADi is a symbolic framework for numeric optimization implementing automatic differentiation in forward and reverse modes on sparse matrix-valued computational graphs. It supports self-contained C-code generation and interfaces state-of-the-art codes such as SUNDIALS, IPOPT etc. It can be used from C++, Python or Matlab/Octave.

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Statistical-Learning-Method_Code

手写实现李航《统计学习方法》书中全部算法

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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。

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retinaface

The remake of the https://github.com/biubug6/Pytorch_Retinaface

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Few-Machine-Learning-projects

These projects use pandas, matplotlib, numpy, scipy and scikitlearn

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ML_Notes

机器学习算法的公式推导以及numpy实现

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Hyperspectral-Classification

Hyperspectral-Classification Pytorch

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OpenCV-Python-Tutorial

📖 OpenCV-Python image processing tutorial for beginners

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Modern-cpp-Projects

some learning projects I did using modern cpp

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pandas-cookbook

Recipes for using Python's pandas library

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gpstuff

GPstuff - Gaussian process models for Bayesian analysis

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Tensorflow-Tutorial

Tensorflow tutorial from basic to hard

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biopandas

Working with molecular structures in pandas DataFrames

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ROS-formation-and-attacker

There is five robot in a formation who is doing its task. They can communicate with each other by a communication topology and correct their position. While there is an attacker who can attack the formation by disguising as an obstacle. These programs can work in ROS.

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pydata-book

Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media

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python_for_data_analysis_2nd_chinese_version

《利用Python进行数据分析·第2版》

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