There are 5 repositories under lecture topic.
Slides and Jupyter notebooks for the Deep Learning lectures at Master Year 2 Data Science from Institut Polytechnique de Paris
Lecture notes, tutorial tasks including solutions as well as online videos for the reinforcement learning course hosted by Paderborn University
Course page „Programmieren in Rust“, University Osnabrück (German!)
Course materials for Dartmouth course: Human Memory (PSYC 51.09)
An online blackboard 🖉 with fridge magnets 🌈🧲 for teaching, and making animations 🏃 and presentations ⎚. All of that in a lightweight user interface.
A curated list of deep learning resources books, courses, papers, libraries, conferences, sample code, and many more.
Music Synthesis with Python talk, originally given at PyGotham 2017.
ASP .NET Core ile Web Programlama Ders Notları
Solutions to assignments for Robot Mapping / SLAM Course WS 2013/14, Uni of Freiburg. Please see to linked website and README for YouTube videos & further resources.
📚 A place for all supplementary materials like slides, homework assignments etc.
Source code for lecture notes
Tutorials for the lecture "Computational Methods in Many-Body Physics"
Lectures for the course "Scientific Programming in Python" at Osnabrück University
:frog: Gecko Download Manager is a Chrome Extension that improves downloading lectures :floppy_disk: from the Echo360 System.
Internet Engineering Course Lecture and Page 🙈 🎈
Highly recommended resources for SLAM newbies (Lecture, Reviewed paper, Books, Tutorial, etc)
This repository serves as an online course for learning React.
This repository contains coding assignments of CarrerTrack in JAVA course offered by CodingNinjas
Assignments of Fudan's PRML course in 2017 Spring
Plots and figures relevant for a fusion research lecture
An integrated tool for presenting lectures.
3D DATA PROCESSING AND MODELING ESSENTIALS: A curated collection of tools, literature, courses, and datasets for mastering 3D point cloud technology.
记录学习浙江大学《数据结构》课程的学习笔记和练习题, 以及在工作中常见数据结构的整理
I have had trouble in the past finding a place where I could learn about statistical learning algorithms, resources as to how to learn them and the code associated with it. This is my attempt at remedying that issue.
My personal notes for Udacity's AI for Trading Nanodegree
Slide decks and sample codes for a lecture of "Security Engineering", which are composed in terms of how to choose and deploy appropriate standardization security technologies in information systems.
Lecture note on Lambda Calculus and Types for FLOLAC
List :clipboard: of Books:books:, Courses :computer: for Data Science :bar_chart:
Setup Unity and Visual Studio on Mac and PC. Use Unity's editor to position, rotate and scale game objects. Understand prefabs. Write very basic code, and use Unity's Console. http://gdev.tv/cu2github (REF: FS_CU2)
Download Impartus lectures, convert to mkv for offline viewing.
컴퓨터언어학 (2022학년도 1학기, 서울대학교 언어학과)