Posts by Tag

notes

Lua Notes

For learning Lua

Physics and Astronomy

Interesting …

Mathematical Methods of Signal and Image Processing - Chapter 4 - The Wavelet Transform

For learning “Mathematical methods of signal and image processing”; content mostly from “RWTH lecture Mathematical methods of signal and image processing” by...

Mathematical Methods of Signal and Image Processing - Chapter 3 - The Frequency Domain

For learning “Mathematical methods of signal and image processing”; content mostly from “RWTH lecture Mathematical methods of signal and image processing” by...

Mathematical Methods of Signal and Image Processing - Chapter 2 - Local Operators

For learning “Mathematical methods of signal and image processing”; content mostly from “RWTH lecture Mathematical methods of signal and image processing” by...

Mathematical Methods of Signal and Image Processing - Chapter 1 - Point Operators

For learning “Mathematical methods of signal and image processing”; content mostly from “RWTH lecture Mathematical methods of signal and image processing” by...

Databases Notes

Databases Basics

React Notes

React Basics

Node.js Notes

Node.js Basics

Next.js Notes

Next.js Basics

CSS Notes

CSS Basics

Security Notes

Security Basics

.NET Notes

.NET Basics

JavaScript Notes

JavaScript Basics

YouTube Notes

Some YouTube essentials

Algorithms Notes

For learning Algorithms.

Introduction to Artificial Intelligence - Notes

For learning Introduction to AI; content mostly from “Artificial Intelligence: A Modern Approach” by Peter Norvig and Stuart J. Russell and “RWTH lecture Int...

Machine Learning (Part 4)

Notes on Computer Vision theory and NLP. Based on Goodfellow, Bengio “Deep Learning”, Stanford CS231n and RWTH Aachen University Machine Learning

C++ Notes

For learning C++

C++ Notes - Unit Testing

For learning C++

C++ Notes - Templates

For learning C++

C++ Notes - References

For learning C++

C++ Notes - Polymorphism

For learning C++

C++ Notes - Pointers and Dynamic Memory

For learning C++

C++ Notes - Objects

For learning C++

C++ Notes - The Standard Library

For learning C++

C++ Notes - Functions

For learning C++

C++ Notes - Exception Handling and Assert

For learning C++

C++ Notes - STL Container

For learning C++

C++ Notes - Classes

For learning C++

C++ Notes - auto and decltype

For learning C++

Software Engineering Notes

Software Engineering Basics

Operating Systems Notes

Operating Systems Basics

DatKom Notes

For learning DatKom; content mostly from Kurose, Ross “Computer Networking”.

Embedded Systems

Notes on Embedded Systems

Data Science Basics

Notes on Data Science Basics.

Notes on YOLO Object Detection

Anchors AlexeyAB explanation

Notes on Computer Vision Coding

pickle use the following code to inspect and view .pickle or .p datasets import pickle import matplotlib.pyplot as plt with open('train.p', 'rb') as ...

Notes on Jetson Xavier AGX

Jetpack check Jetpack version: sudo apt-cache show nvidia-jetpack Basics command description tegrastats -v ...

Notes on Deepstream, TAO Toolkit, NGC CLI

GStreamer framework DeepStream SDK is based on the GStreamer framework. Wikipedia GStreamer is a pipeline-based multimedia framework that li...

Notes on CUDA and cuDNN

Currently installed CUDA 11.2 Update 2 cuDNN 8.1.1.33 Install install CUDA normally install cuDNN without sudo add-apt-repository "deb https://...

New Inspirations for Machine Learning Methods

Notes on some inspirations for Machine Learning methods. Based on opinions from leading scientists and also some of my own opinions.

Machine Learning (Part 3)

Notes on Computer Vision theory and NLP. Based on Goodfellow, Bengio “Deep Learning”, Stanford CS231n and RWTH Aachen University Machine Learning

Machine Learning (Part 2)

Notes on Machine Learning theory. Based on C. M. Bishop, “Pattern Recognition and Machine Learning” (2011) and Goodfellow, Bengio, Courville, “Deep Learning”.

Machine Learning (Part 1)

Notes on Machine Learning theory. Based on C. M. Bishop, “Pattern Recognition and Machine Learning” (2011) and Goodfellow, Bengio, Courville, “Deep Learning”.

Docker Notes

Docker Hub Limits There’s now a rate limit for pulling images from Docker Hub (unauthenticated users: 100 pulls per 6 hours, logged in users with free a...

Team Galaxis Notes

docker starten mit ./scripts/start_docker.sh mehrmals compilen mit ./compile.sh source /opt/ros/eloquent/setup.bash (check, ob alles stimmt: ros2 run ...

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cheatsheet

Tools Cheatsheet

Cheatsheet for some handy tools.

Latex in Jekyll Cheatsheet

Some essential Jekyll, Latex and Ruby commands and snippets

Tmux Cheatsheet

Some essential tmux commands

HPC Cheatsheet

Some essential HPC commands

Jupyter Cheatsheet

jupyter jupyterlab Dark Mode: Menubar “Settings” → “JupyterLab Theme” → “JupyterLab Dark” Shortcuts command description ...

Coding Cheatsheet

Some essential shortcuts

Google Cheatsheet

Some Google essentials

DVC Cheatsheet

Some essential dvc commands

Github Cheatsheet

Some essential Github tricks

Markdown Cheatsheet

Latex in vim

Android Cheatsheet

Useful tips for using Android

WSL2 Cheatsheet

For quick setup of WSL2

Python Plots Cheatsheet

imshow() plt.imshow just finishes drawing a picture instead of printing it. If you want to print the picture, you just need to add plt.show.

ROS Cheatsheet

ROS Packages image_view Display the images of an image topic: rosrun image_view image_view image:=/sensor/camera1/image_raw opencv_apps Install sudo...

Networking Cheatsheet

Some essential networking commands

ROS2 Cheatsheet

Install ROS2 Über apt install installieren (wie hier beschrieben) Dann, wie in binary installation unter “Installing and initializing rosdep...

Qt Cheatsheet

Install am besten mit offline installer (created with Qt Installer Framework); automatische installation via script, das installer automatisch “durchklic...

Python Cheatsheet

Installing multiple Python Versions source: sudo add-apt-repository ppa:deadsnakes/ppa sudo apt-get update sudo apt-get install py...

Doxygen Cheatsheet

General Experiences/Issues Markdown files are merged Note: This happened when I loaded an old Doxyfile in order to generate the documentation. After that I...

Bash Cheatsheet

References tldp.org gnu.org the same on devdocs.io: bash (“DevDocs combines multiple API documentations in a fast, organized, and searchable...

Mac and iOS Cheatsheet

Wifi settings cd /System/Library/PrivateFrameworks/Apple80211.framework/Versions/Current/Resources/ ./airport en1 prefs # set wifi connection behaviour (eg....

Git Cheatsheet

Some essential git commands

Ubuntu Cheatsheet

OS tty To switch ttys use ctrl + alt + F#, where # is the tty number you want to switch to. see Switching between ttys Ubuntu 17.10+ assign...

VS Code Cheatsheet

Some tips for VS Code.

Linux Cheatsheet

Some essential Linux commands

Vim Cheatsheet

Some essential vim commands

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c++

C++ Notes

For learning C++

C++ Notes - Unit Testing

For learning C++

C++ Notes - Templates

For learning C++

C++ Notes - References

For learning C++

C++ Notes - Polymorphism

For learning C++

C++ Notes - Pointers and Dynamic Memory

For learning C++

C++ Notes - Objects

For learning C++

C++ Notes - The Standard Library

For learning C++

C++ Notes - Functions

For learning C++

C++ Notes - Exception Handling and Assert

For learning C++

C++ Notes - STL Container

For learning C++

C++ Notes - Classes

For learning C++

C++ Notes - auto and decltype

For learning C++

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ml

Machine Learning (Part 4)

Notes on Computer Vision theory and NLP. Based on Goodfellow, Bengio “Deep Learning”, Stanford CS231n and RWTH Aachen University Machine Learning

TensorRT

Notes on TensorRT.

Tensorflow

Notes on Tensorflow.

Machine Learning (Part 2) [OLD VERSION]

[OLD VERSION!] Notes on Machine Learning theory. Based on C. M. Bishop, “Pattern Recognition and Machine Learning” (2011) and Goodfellow, Bengio, Courville, ...

New Inspirations for Machine Learning Methods

Notes on some inspirations for Machine Learning methods. Based on opinions from leading scientists and also some of my own opinions.

Machine Learning (Part 3)

Notes on Computer Vision theory and NLP. Based on Goodfellow, Bengio “Deep Learning”, Stanford CS231n and RWTH Aachen University Machine Learning

Machine Learning (Part 2)

Notes on Machine Learning theory. Based on C. M. Bishop, “Pattern Recognition and Machine Learning” (2011) and Goodfellow, Bengio, Courville, “Deep Learning”.

PyTorch

Notes on PyTorch.

Computational Graphs in PyTorch

Notes on PyTorch.

Machine Learning (Part 1)

Notes on Machine Learning theory. Based on C. M. Bishop, “Pattern Recognition and Machine Learning” (2011) and Goodfellow, Bengio, Courville, “Deep Learning”.

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lecture_notes

Machine Learning (Part 4)

Notes on Computer Vision theory and NLP. Based on Goodfellow, Bengio “Deep Learning”, Stanford CS231n and RWTH Aachen University Machine Learning

Machine Learning (Part 2) [OLD VERSION]

[OLD VERSION!] Notes on Machine Learning theory. Based on C. M. Bishop, “Pattern Recognition and Machine Learning” (2011) and Goodfellow, Bengio, Courville, ...

Machine Learning (Part 3)

Notes on Computer Vision theory and NLP. Based on Goodfellow, Bengio “Deep Learning”, Stanford CS231n and RWTH Aachen University Machine Learning

Machine Learning (Part 2)

Notes on Machine Learning theory. Based on C. M. Bishop, “Pattern Recognition and Machine Learning” (2011) and Goodfellow, Bengio, Courville, “Deep Learning”.

Computational Graphs in PyTorch

Notes on PyTorch.

Machine Learning (Part 1)

Notes on Machine Learning theory. Based on C. M. Bishop, “Pattern Recognition and Machine Learning” (2011) and Goodfellow, Bengio, Courville, “Deep Learning”.

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tesla

PyTorch at Tesla - Andrej Karpathy, Tesla

Presented at PyTorch Developer Conference 2019

How AI Powers Self-Driving Tesla with Elon Musk and Andrej Karpathy

Presented at Tesla’s Autonomy Day 2019

Andrej Karpathy - AI for Full-Self Driving at Tesla

Presented at the 5th Annual Scaled Machine Learning Conference 2020

Andrej Karpathy (Tesla): CVPR 2021 Workshop on Autonomous Vehicles

Presented at CVPR 2021 Workshop on Autonomous Vehicles

Tesla AI Day Summary

Analysis of the Tesla AI day

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self driving

PyTorch at Tesla - Andrej Karpathy, Tesla

Presented at PyTorch Developer Conference 2019

How AI Powers Self-Driving Tesla with Elon Musk and Andrej Karpathy

Presented at Tesla’s Autonomy Day 2019

Andrej Karpathy - AI for Full-Self Driving at Tesla

Presented at the 5th Annual Scaled Machine Learning Conference 2020

Andrej Karpathy (Tesla): CVPR 2021 Workshop on Autonomous Vehicles

Presented at CVPR 2021 Workshop on Autonomous Vehicles

Tesla AI Day Summary

Analysis of the Tesla AI day

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lecture

Mathematical Methods of Signal and Image Processing - Chapter 4 - The Wavelet Transform

For learning “Mathematical methods of signal and image processing”; content mostly from “RWTH lecture Mathematical methods of signal and image processing” by...

Mathematical Methods of Signal and Image Processing - Chapter 3 - The Frequency Domain

For learning “Mathematical methods of signal and image processing”; content mostly from “RWTH lecture Mathematical methods of signal and image processing” by...

Mathematical Methods of Signal and Image Processing - Chapter 2 - Local Operators

For learning “Mathematical methods of signal and image processing”; content mostly from “RWTH lecture Mathematical methods of signal and image processing” by...

Mathematical Methods of Signal and Image Processing - Chapter 1 - Point Operators

For learning “Mathematical methods of signal and image processing”; content mostly from “RWTH lecture Mathematical methods of signal and image processing” by...

Introduction to Artificial Intelligence - Notes

For learning Introduction to AI; content mostly from “Artificial Intelligence: A Modern Approach” by Peter Norvig and Stuart J. Russell and “RWTH lecture Int...

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msip

Mathematical Methods of Signal and Image Processing - Chapter 4 - The Wavelet Transform

For learning “Mathematical methods of signal and image processing”; content mostly from “RWTH lecture Mathematical methods of signal and image processing” by...

Mathematical Methods of Signal and Image Processing - Chapter 3 - The Frequency Domain

For learning “Mathematical methods of signal and image processing”; content mostly from “RWTH lecture Mathematical methods of signal and image processing” by...

Mathematical Methods of Signal and Image Processing - Chapter 2 - Local Operators

For learning “Mathematical methods of signal and image processing”; content mostly from “RWTH lecture Mathematical methods of signal and image processing” by...

Mathematical Methods of Signal and Image Processing - Chapter 1 - Point Operators

For learning “Mathematical methods of signal and image processing”; content mostly from “RWTH lecture Mathematical methods of signal and image processing” by...

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python

Python Plots Cheatsheet

imshow() plt.imshow just finishes drawing a picture instead of printing it. If you want to print the picture, you just need to add plt.show.

Qt Cheatsheet

Install am besten mit offline installer (created with Qt Installer Framework); automatische installation via script, das installer automatisch “durchklic...

Python Cheatsheet

Installing multiple Python Versions source: sudo add-apt-repository ppa:deadsnakes/ppa sudo apt-get update sudo apt-get install py...

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vim

Coding Cheatsheet

Some essential shortcuts

Vim Cheatsheet

Some essential vim commands

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setup

RTX 3060 Setup

Install pytorch conda install pytorch torchvision torchaudio cudatoolkit=11.1 -c pytorch -c nvidia (official von pytorch.org) Achtung: Skip cu...

Firefox Setup

Profiles Profile Directory about:support → “Profile Directory” → “Open Directory” Button History source Firefox stores your history and bookmarks togeth...

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summaries

Computer Vision

Click on “Content in HTML” button below.

Stanford Databases Course

Page formatting sucks. Click on “Content in HTML” button below.

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databases

Databases Notes

Databases Basics

Stanford Databases Course

Page formatting sucks. Click on “Content in HTML” button below.

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conda

Qt Cheatsheet

Install am besten mit offline installer (created with Qt Installer Framework); automatische installation via script, das installer automatisch “durchklic...

Python Cheatsheet

Installing multiple Python Versions source: sudo add-apt-repository ppa:deadsnakes/ppa sudo apt-get update sudo apt-get install py...

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ros

ROS Cheatsheet

ROS Packages image_view Display the images of an image topic: rosrun image_view image_view image:=/sensor/camera1/image_raw opencv_apps Install sudo...

ROS2 Cheatsheet

Install ROS2 Über apt install installieren (wie hier beschrieben) Dann, wie in binary installation unter “Installing and initializing rosdep...

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cv

Machine Learning (Part 4)

Notes on Computer Vision theory and NLP. Based on Goodfellow, Bengio “Deep Learning”, Stanford CS231n and RWTH Aachen University Machine Learning

Computer Vision

Click on “Content in HTML” button below.

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computervision

CLIP: Learning Transferable Visual Models From Natural Language Supervision

RWTH Computer Vision Seminar “Current Topics in Computer Vision and Machine Learning”.

Machine Learning (Part 3)

Notes on Computer Vision theory and NLP. Based on Goodfellow, Bengio “Deep Learning”, Stanford CS231n and RWTH Aachen University Machine Learning

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computer_vision

Notes on YOLO Object Detection

Anchors AlexeyAB explanation

Notes on Computer Vision Coding

pickle use the following code to inspect and view .pickle or .p datasets import pickle import matplotlib.pyplot as plt with open('train.p', 'rb') as ...

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linux

Linux Cheatsheet

Some essential Linux commands

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galaxis

Team Galaxis Notes

docker starten mit ./scripts/start_docker.sh mehrmals compilen mit ./compile.sh source /opt/ros/eloquent/setup.bash (check, ob alles stimmt: ros2 run ...

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vscode

VS Code Cheatsheet

Some tips for VS Code.

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firefox

Firefox Setup

Profiles Profile Directory about:support → “Profile Directory” → “Open Directory” Button History source Firefox stores your history and bookmarks togeth...

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gpu

RTX 3060 Setup

Install pytorch conda install pytorch torchvision torchaudio cudatoolkit=11.1 -c pytorch -c nvidia (official von pytorch.org) Achtung: Skip cu...

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hardware

RTX 3060 Setup

Install pytorch conda install pytorch torchvision torchaudio cudatoolkit=11.1 -c pytorch -c nvidia (official von pytorch.org) Achtung: Skip cu...

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ubuntu

Ubuntu Cheatsheet

OS tty To switch ttys use ctrl + alt + F#, where # is the tty number you want to switch to. see Switching between ttys Ubuntu 17.10+ assign...

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docker

Docker Notes

Docker Hub Limits There’s now a rate limit for pulling images from Docker Hub (unauthenticated users: 100 pulls per 6 hours, logged in users with free a...

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git

Git Cheatsheet

Some essential git commands

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mac

Mac and iOS Cheatsheet

Wifi settings cd /System/Library/PrivateFrameworks/Apple80211.framework/Versions/Current/Resources/ ./airport en1 prefs # set wifi connection behaviour (eg....

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iOS

Mac and iOS Cheatsheet

Wifi settings cd /System/Library/PrivateFrameworks/Apple80211.framework/Versions/Current/Resources/ ./airport en1 prefs # set wifi connection behaviour (eg....

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bash

Bash Cheatsheet

References tldp.org gnu.org the same on devdocs.io: bash (“DevDocs combines multiple API documentations in a fast, organized, and searchable...

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doxygen

Doxygen Cheatsheet

General Experiences/Issues Markdown files are merged Note: This happened when I loaded an old Doxyfile in order to generate the documentation. After that I...

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ros2

ROS2 Cheatsheet

Install ROS2 Über apt install installieren (wie hier beschrieben) Dann, wie in binary installation unter “Installing and initializing rosdep...

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network

Networking Cheatsheet

Some essential networking commands

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pytorch

PyTorch

Notes on PyTorch.

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bachelor_thesis

Triaxiale Schwarzschild-Modelle für elliptische Galaxien und ihre Anwendung auf NGC 4365

Bachelorarbeit an der Fakultät für Physik der Ludwig–Maximilians–Universität München.

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build

Learn Blockchains by Building One

Original project by Daniel van Flymen: original blog post

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blockchain

Learn Blockchains by Building One

Original project by Daniel van Flymen: original blog post

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carla

Carla Simulator

Notes on the Carla Simulator

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simulator

Carla Simulator

Notes on the Carla Simulator

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self_driving

Carla Simulator

Notes on the Carla Simulator

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tensorflow

Tensorflow

Notes on Tensorflow.

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plotting

Python Plots Cheatsheet

imshow() plt.imshow just finishes drawing a picture instead of printing it. If you want to print the picture, you just need to add plt.show.

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cuda

Notes on CUDA and cuDNN

Currently installed CUDA 11.2 Update 2 cuDNN 8.1.1.33 Install install CUDA normally install cuDNN without sudo add-apt-repository "deb https://...

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cudnn

Notes on CUDA and cuDNN

Currently installed CUDA 11.2 Update 2 cuDNN 8.1.1.33 Install install CUDA normally install cuDNN without sudo add-apt-repository "deb https://...

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deepstream

Notes on Deepstream, TAO Toolkit, NGC CLI

GStreamer framework DeepStream SDK is based on the GStreamer framework. Wikipedia GStreamer is a pipeline-based multimedia framework that li...

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tao_toolkit

Notes on Deepstream, TAO Toolkit, NGC CLI

GStreamer framework DeepStream SDK is based on the GStreamer framework. Wikipedia GStreamer is a pipeline-based multimedia framework that li...

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ngc_cli

Notes on Deepstream, TAO Toolkit, NGC CLI

GStreamer framework DeepStream SDK is based on the GStreamer framework. Wikipedia GStreamer is a pipeline-based multimedia framework that li...

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agx

Notes on Jetson Xavier AGX

Jetpack check Jetpack version: sudo apt-cache show nvidia-jetpack Basics command description tegrastats -v ...

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opencv

Notes on Computer Vision Coding

pickle use the following code to inspect and view .pickle or .p datasets import pickle import matplotlib.pyplot as plt with open('train.p', 'rb') as ...

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cv2

Notes on Computer Vision Coding

pickle use the following code to inspect and view .pickle or .p datasets import pickle import matplotlib.pyplot as plt with open('train.p', 'rb') as ...

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tensorrt

TensorRT

Notes on TensorRT.

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yolo

Notes on YOLO Object Detection

Anchors AlexeyAB explanation

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data_science

Data Science Basics

Notes on Data Science Basics.

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emsys

Embedded Systems

Notes on Embedded Systems

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wsl2

WSL2 Cheatsheet

For quick setup of WSL2

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datkom

DatKom Notes

For learning DatKom; content mostly from Kurose, Ross “Computer Networking”.

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os

Operating Systems Notes

Operating Systems Basics

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software_engineering

Software Engineering Notes

Software Engineering Basics

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android

Android Cheatsheet

Useful tips for using Android

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auto

C++ Notes - auto and decltype

For learning C++

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decltype

C++ Notes - auto and decltype

For learning C++

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classes

C++ Notes - Classes

For learning C++

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container

C++ Notes - STL Container

For learning C++

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exceptions

C++ Notes - Exception Handling and Assert

For learning C++

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functions

C++ Notes - Functions

For learning C++

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std

C++ Notes - The Standard Library

For learning C++

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library

C++ Notes - The Standard Library

For learning C++

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objects

C++ Notes - Objects

For learning C++

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pointers

C++ Notes - Pointers and Dynamic Memory

For learning C++

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smartpointers

C++ Notes - Pointers and Dynamic Memory

For learning C++

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dynamicmemory

C++ Notes - Pointers and Dynamic Memory

For learning C++

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polymorphism

C++ Notes - Polymorphism

For learning C++

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references

C++ Notes - References

For learning C++

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templates

C++ Notes - Templates

For learning C++

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unittest

C++ Notes - Unit Testing

For learning C++

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markdown

Markdown Cheatsheet

Latex in vim

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ai

Introduction to Artificial Intelligence - Notes

For learning Introduction to AI; content mostly from “Artificial Intelligence: A Modern Approach” by Peter Norvig and Stuart J. Russell and “RWTH lecture Int...

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