Intuitive visual articles on mathematics, physics, and computer science.
Philosophy: complex ideas deserve visual clarity. Every article aims to make you see the concept, not just read about it. Rigorous but accessible — formulas meet intuition.
| Article | Topic | Status |
|---|---|---|
| The Integration Odyssey | Riemann → Lebesgue → K-H → Ito → Feynman | Published |
Coming soon — Transformers, algorithms, systems.
| Article | Topic | Status |
|---|---|---|
| ResNet: Deep Residual Learning | Degradation → residual → clean-path proof | Published |
| RegNet: Designing Network Design Spaces | Design spaces, quantized widths, group conv, SE, recipes | Published |
Coming soon — relativity, quantum, thermodynamics.
The long-term goal is to evolve static articles into visual explanations — animated diagrams (Manim), interactive schemas (D3.js), and eventually full video episodes. Text stays rigorous; visuals make it stick.
Article (Markdown + KaTeX)
→ Animated scenes (Manim / Motion Canvas)
→ Interactive exploration (D3.js / HTML)
→ Video episode (ffmpeg assembly + TTS narration)
→ Social media distribution (YouTube, LinkedIn, X)
- Docsify — VS Code dark theme, sidebar navigation, full-text search
- KaTeX — client-side LaTeX rendering
- GitHub Pages — static hosting
KpihX — Applied Math & CS, Ecole Polytechnique X24.
- GitHub: KpihX
- Email: kapoivha@gmail.com
- YouTube: @sciencurieux