Lecture notes, tutorial tasks including solutions as well as online videos for the reinforcement learning course hosted by Paderborn University

Continuous- and Discrete-Time Signals and Systems - Theory and Computational Examples

Research Software Engineering with Python course material

HaDes-V is an Open Educational Resource for learning microcontroller design. It guides you through creating a pipelined 32-bit RISC-V processor using SystemVerilog and FPGA tools. Developed by TU Graz's EAS Group, this resource combines hands-on exercises in hardware/software co-design with practical implementation on the Basys3 FPGA board.

Our discussion forum (see "issues") for the OpenCon Do-A-Thon, a day of trying, making, testing and doing to advance Open Research & Education. See our full website, with more information (including Github Help, and how to get involved).

A curated list of free Credly badges 🏆🏅 500+ free courses and certifications🎖️🥇 Learn new skills from 50+ organizations, earn verifiable badges, and build your portfolio for free! 💻 💼 🚀

The GitHub repository containing all the material related to the Computational Thinking and Programming course of the Digital Humanities and Digital Knowledge degree at the University of Bologna (a.a. 2018/2019).

an initiative to provide infrastructure for reproducible workflows around open data

Public talks and lectures hosted by institutes and universities in London on topics including law, art sustainability, philosophy, history, economics and much more

Brick of Knowledge on Open Models : Open Source, Open Science, Open Education, Open Collaboration, Open Hardware...

Create local study groups and learn together.

Module 9 : Open Educational Resources

An Introductory Workshop on Modern Data Analyses and Workflows for Reproducible Research in R

ARCHIVED: Activity moved to rostools organization.

Knowledge Commons research group's repository

Un manifiesto para cuestionar el uso automático de los datos. Pensamiento analítico para perfiles técnicos.

A repo containing lessons used in pyOpenSci training.

This repository is your gateway to an evolving, optimized study workflow. We combine technology, science, and the power of community to empower learners. While the workflow is centered around Obsidian, our approach welcomes all who seek to enhance their learning. Join us in shaping the future of studying.

Multiclass classification example/exercise using deep neural networks (DNNs)

🧾 Open, hands-on AI education program — from Machine Learning to Generative Intelligence. Weekly lessons in Jupyter Notebooks, ready for Google Colab.🧾