IOAI PH GitHub
Our open-source repositories — training materials, problem sets, and tooling.
A living list of curated study material — the same references our mentors point trainees to throughout the IOAI Philippines cycle. Free, public, and aligned with the official IOAI syllabus.
A comprehensive institutional brief detailing national talent screening, the 2026 Kazakhstan delegation performance, curriculum frameworks, and strategic policy recommendations for Philippine AI education.
Our open-source repositories — training materials, problem sets, and tooling.
Follow announcements and join the conversation with fellow trainees and mentors.
National reports, DepEd advisories, and accreditation announcements for the Philippine delegation.
For High Schoolers by High Schoolers
Linear algebra, calculus, probability, and statistics — the bedrock of every IOAI round.
Supervised and unsupervised methods, evaluation, and feature engineering.
From backprop to modern transformer architectures and training dynamics.
Tokenization, embeddings, attention, and vision pipelines from CNNs to ViTs.
Official syllabus, past tasks, and competition-style practice.
Free notebooks, datasets, and GPU resources to practice on real workloads.
We keep this list lean and high-signal. If you've found something exceptional, email info@ioaiph.org with the link and a short note on why.