william-yan's repositories

book

这里是一些学习自动驾驶及工作的资料,主要是一些书籍

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apollo

An open autonomous driving platform

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Apollo-Note

Note for Apollo 3.0 perception, prediction and planning modules

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awesome-model-based-reinforcement-learning

A curated list of awesome Model-based reinforcement learning resources

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Baidu-Apollo-control-algorithm

Analyzed Baidu Apollo LQR and MPC lateral control algorithm based on dynamic vehicle model

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Bezier

Bezier curves for the discerning Python user.

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BP-Neural-Network-Matlab

BP Neural Network in Matlab.

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code-of-learn-deep-learning-with-pytorch

This is code of book "Learn Deep Learning with PyTorch"

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CSU_notes

some notes about autonomous driving.

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es

An easy to use, high performance, C++14 "Entity Component System" library.

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GitPush

learning how to push to GitHub

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HIT-OSLab

S - 哈工大《操作系统》实验

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hit-oslab-1

哈尔滨工业大学《操作系统》课程实验指导手册、实验环境(64位支持)及源码。

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icnn

Input Convex Neural Networks

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lstm_matlab

A matlab version of lng short term memory

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MPC

Neural Network Dynamics for Model-Based Deep Reinforcement Learning with Model-Free Fine-Tuning

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MPC_Code

Model Predictive Control for autonomous vehicle trajectory tracking control, in Matlab.

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mynode

learn how to use docker

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PyTorch-Tutorial

Build your neural network easy and fast

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social-lstm

Social LSTM implementation in PyTorch

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SRLSTM

States Refinement LSTM

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tools-and-others

There are some tools or install software methods

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