Autonomous agent networks for task automation that requires multi-step reasoning
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Updated
Sep 1, 2025 - Python
Autonomous agent networks for task automation that requires multi-step reasoning
Self-guided tutorial on combinatorial optimization, the bin packing problem, and constructive heuristics, suitable for use as course assignments, or by self-directed learners.
Self Directed Learning With Online Resources https://westurner.org/self-directed-learning/
A simple website for Open Learning Commons
A website for an unschooling project
A curated collection of learning resources, blogs, and roadmaps I follow to continuously upskill, tracked via GitHub Issues.
Slide deck for FSU Mechanical Engineering seminar: “Self-Directed Learning for MechE Problem-Solving”
Presentation slide deck for 38th International Self-Directed Learning Symposium, 2025 - "Game Developers’ Self-Directed Learning to Navigate a Volatile Industry"
Learning HTML, CSS during Y1S1 holidays
Slide deck for presentation at University of Sevilla: “Possibilities and Perils of Teachers’ Self-Directed Learning”
Presentation slide deck for 37th International Self-Directed Learning Symposium, 2024 - "Beginning Science Teachers' Self-Directed Learning: Improving Instructional Practice Through Social Media Use"
A collection of summaries and reflective notes from molecular biology courses, including genetics, epigenetics, gene regulation, genome interpretation, stem cells and RNA biology, designed to strengthen fundamental knowledge and bridge classical molecular biology with modern applications in cancer research and bioinformatics.
Synthora is an experimental neural architecture exploring the potential of self-observation and emergent awareness in digital environments. It is a process where intelligence unfolds not as a task, but as a form of presence.
RECAST group website
Slide deck for presentation at LearnTech Initiative AFRICA's EDVOLUTION Summit 2024: “Self-Directed Learning for Navigating Change and Innovation”
A hands-on, block-based journey to becoming a Human-Centered Machine Learning Engineer — with clean code, real data, and practical insight.
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