Wang  Zhe (wzshtuhao)

wzshtuhao

Geek Repo

Company:AIA, HUST

Location:Wuhan , China

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Wang Zhe's starred repositories

BNS

Bayesian negative sampling is the theoretically optimal negative sampling algorithm that runs in linear time.

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NMPC-planning-simulink

Local path planning using nonlinear model predictive control technique is implemented in Matlab/Simulink environment for Master thesis studies.

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libMultiRobotPlanning

Library with search algorithms for task and path planning for multi robot/agent systems

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multi_agent_path_planning

Python implementation of a bunch of multi-robot path-planning algorithms.

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excalidraw

Virtual whiteboard for sketching hand-drawn like diagrams

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python-control

The Python Control Systems Library is a Python module that implements basic operations for analysis and design of feedback control systems.

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FPGA_ThreeLevelStorage

【原创,已被编入官方教材】Three-level storage subsystem(SD+DDR2 SDRAM+Cache), based on Nexys4 FPGA board. 同济大学计算机系统结构课程设计,FPGA三级存储子系统。

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Kalman-and-Bayesian-Filters-in-Python

Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.

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Reinforcement_Learning_Coding_Examples

My personal practice to implement algorithms of RL from scratch.

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Reinforcement-Learning-2nd-Edition-by-Sutton-Exercise-Solutions

Solutions of Reinforcement Learning, An Introduction

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tianshou

An elegant PyTorch deep reinforcement learning library.

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awesome-slam-datasets

A curated list of awesome datasets for SLAM

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GeneticAlgorithm

这是用C++写的遗传算法,参考《智能算法 30案例分析 第2版》一书,包含TSP、LQR控制器、结合量子算法、多目标优化、粒子群等,由于原作为matlab程序,综合自己思路通过C++写出来,算是练习和开个大坑

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dive-into-machine-learning

Free ways to dive into machine learning with Python and Jupyter Notebook. Notebooks, courses, and other links. (First posted in 2016.)

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DQN-tensorflow

Tensorflow implementation of Human-Level Control through Deep Reinforcement Learning

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machinelearning

My blogs and code for machine learning. http://cnblogs.com/pinard

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leedl-tutorial

《李宏毅深度学习教程》(李宏毅老师推荐👍),PDF下载地址:https://github.com/datawhalechina/leedl-tutorial/releases

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Machine_Learning_Code_Implementation

Mathematical derivation and pure Python code implementation of machine learning algorithms.

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CppRobotics

cpp implementation of robotics algorithms including localization, mapping, SLAM, path planning and control

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ACMSIMC_TUT

AC Machine Simulation in C (Tutorial Version)

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chinese-independent-developer

👩🏿‍💻👨🏾‍💻👩🏼‍💻👨🏽‍💻👩🏻‍💻**独立开发者项目列表 -- 分享大家都在做什么

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simupy

A framework for modeling and simulating dynamical systems

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gradient_descent_viz

interactive visualization of 5 popular gradient descent methods with step-by-step illustration and hyperparameter tuning UI

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introRL

Intro to Reinforcement Learning (强化学习纲要)

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Daily-DeepLearning

🔥机器学习/深度学习/Python/算法面试/自然语言处理教程/剑指offer/machine learning/deeplearning/Python/Algorithm interview/NLP Tutorial

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tmkit

A Task-Motion Planning Framework

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My_Bibliography_for_Research_on_Autonomous_Driving

Personal notes about scientific and research works on "Decision-Making for Autonomous Driving"

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rl-agents

Implementations of Reinforcement Learning and Planning algorithms

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HighwayEnv

A minimalist environment for decision-making in autonomous driving

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