wangfj161's repositories
cs-self-learning
计算机自学指南
EigenChineseDocument
This is my translation of Chinese document of Eigen
proxqp_benchmark
QP Benchmarks for the ProxQP Solver against OSQP, GUROBI, MOSEK, quadprog and qpOASES
CartesianPlanner
Source codes of “Autonomous Driving on Curvy Roads without Reliance on Frenet Frame: A Cartesian-based Trajectory Planning Method” published in IEEE Trans. Intelligent Transportation Systems
Fast-Planner
A Robust and Efficient Trajectory Planner for Quadrotors
leetcode-master
《代码随想录》LeetCode 刷题攻略：200道经典题目刷题顺序，共60w字的详细图解，视频难点剖析，50余张思维导图，支持C++，Java，Python，Go，JavaScript等多语言版本，从此算法学习不再迷茫！🔥🔥 来看看，你会发现相见恨晚！🚀
library
📚 Collection of various guides, books and papers.
highway-env
A minimalist environment for decision-making in autonomous driving
Messy_Test
C++/C++11/C++14's usage
TimeSeriesMoonlightBox
Time Series Analysis Models Source Code with Deep Learning Algorithms
deep-learning
《深度学习入门-基于Python的理论与实现》，包含源代码和高清PDF(带书签)；慕课网imooc《深度学习之神经网络(CNN-RNN-GAN)算法原理-实战》；《菜菜的机器学习sklearn》
book
Book PDF
Single-Player-MCTS
🌳 Python implementation of single-player Monte-Carlo Tree Search.
Kalman
Some Python Implementations of the Kalman Filter
Reinforcement-Learning-practice-zh
强化学习-中文笔记&资源-以python实例为主-由浅入深
Apollo-Note
Note for Apollo 3.0 perception, prediction and planning modules
scipy
Scipy library main repository
pumpkin-book
《机器学习》（西瓜书）公式推导解析，在线阅读地址：https://datawhalechina.github.io/pumpkin-book
darknet
YOLOv4 - Neural Networks for Object Detection (Windows and Linux version of Darknet )
lihang-code
《统计学习方法》的代码实现
Statistical-Learning-Method_Code
手写实现李航《统计学习方法》书中全部算法
ParNMPC
A Parallel Optimization Toolkit for Nonlinear Model Predictive Control (NMPC)
face_recognition
The world's simplest facial recognition api for Python and the command line
Firmware
PX4 Autopilot Software
probabilistic_robotics
solution of exercises of the book "probabilistic robotics"
interview
📚 C/C++ 技术面试基础知识总结，包括语言、程序库、数据结构、算法、系统、网络、链接装载库等知识及面试经验、招聘、内推等信息。
aritificial-potential-field
Artificial Potential Field for path planning