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02456-deep-learning-with-pytorch

Exercises and supplementary material for the deep learning course 02456 using PyTorch.

2021.machinelearning

2021-1학기 지능기전공학부 기계학습 수업

ahrs

Small MATLAB repo to test out different AHRS algorithms on the MPU-9250 + Arduino.

aircraft-simulation-control

applied-linear-systems-auv-project-part-1

1st Part of Semester long AUV Controls Project

arduino_ahrs_system

A compact realtime embedded Attitude and Heading Reference System (AHRS) using Recursive Least Squares (RLS) for magnetometer calibration and EKF/UKF for sensor fusion on Arduino platform

artificial-potential-field-matlab

asv-path-following-simulation

A path following simulation for autonomous surface vehicle on Matlab/Simulink

autodocking

Modelling and control of maritime vessels

automatic-control-of-passenger-ferry-with-risk-contingencies

This repository contains the code for the master's thesis of Jon Magnus Moen, "Automatic control with risk contingencies for autonomous passenger ferry", written at NTNU spring 2021.

auv-depth-tracking-with-alos-and-adrc

A Simulink simulation to verify depth tracking for AUV method combined with ALOS guidance law and ADRC pitch tracking control.

auvforwarddynamics

Dynamic Model of a 6DOF AUV

awesome-semantic-segmentation-pytorch

Semantic Segmentation on PyTorch (include FCN, PSPNet, Deeplabv3, Deeplabv3+, DANet, DenseASPP, BiSeNet, EncNet, DUNet, ICNet, ENet, OCNet, CCNet, PSANet, CGNet, ESPNet, LEDNet, DFANet)

bebops

BebopS aims to simulate the behavior of Parrot Bebop 2 by using SIL methodologies

casadi_mpc_mhe_python

This repository is an implementation of the work from Mohamed W. Mehrez. I convert the original code in MATLAB to the Python

controls-simulations

MATLAB Simulink project for designing, simulating, and exporting the control system for our AUV

coursera-deep-learning-specialization

Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization; (iii) Structuring Machine Learning Projects; (iv) Convolutional Neural Networks; (v) Sequence Models

coursera-stanford-ml-python

Coursera/Stanford Machine Learning course assignments in python

cytron_jetracer

Getting Started with ROS and JetRacer AI Kit. Refer to tutorial page at https://tutorial.cytron.io/?p=38120

datascipy

이 저장소는 "생능 출판사"의 "따라하며 배우는 파이썬과 데이터 과학(2020 출판)" 저장소입니다.

dave

Project DAVE

deep-learning

deep-learning-from-scratch

『밑바닥부터 시작하는 딥러닝』(한빛미디어, 2017)

deep-learning-paper-review-and-practice

꼼꼼한 딥러닝 논문 리뷰와 코드 실습

deep-vision

Learning and replicating famous deep learning models for computer vision tasks

deeplearning.ai-pytorch

PyTorch Implementations of Coursera's Deep Learning(deeplearning.ai) Specialization

deeplearning_starting_with_pytorch

PyTorch로 시작하는 딥 러닝 입문 / 유원준 / Wikidocs(위키독스)

densedepth

High Quality Monocular Depth Estimation via Transfer Learning

dl-2020-final-project

This is the final project for the Deep Learning class, NCTU - Fall 2020. The objective is to build a robot to win a line-following competition. Our team won first place out of 10 teams.

dl_with_pytorch