---
layout: farshid_default
title: "Atlas"
permalink: /atlas/
description: "The single index of everything on pirahansiah.com — every publication, course, note, talk and project on one page."
---

# Atlas

The single index of everything on pirahansiah.com — every publication, course, note, talk and project on one page.

<nav class="atlas-jump" aria-label="Atlas sections">
  <a href="#publications">Publications <span>27</span></a>
  <a href="#courses">Courses <span>18</span></a>
  <a href="#notes-guides">Notes &amp; Guides <span>39</span></a>
  <a href="#downloads">Downloads <span>28</span></a>
  <a href="#mentoring-coaching">Mentoring &amp; Coaching <span>6</span></a>
  <a href="#talks-presentations-keynotes">Talks, Presentations &amp; Keynotes <span>13</span></a>
  <a href="#site-pages">Site Pages <span>6</span></a>
  <a href="#projects">Projects <span>6</span></a>
</nav>

<section class="atlas-sec" id="publications">
  <h2>Publications</h2>
  <h3 class="atlas-sub" id="book-chapters">Book Chapters <span class="atlas-count">7</span></h3>
  <ul class="atlas-list">
    <li><a href="/farshid/content/books-cv-meets-llm.md">AI computer vision locally LLMs on device</a></li>
    <li><a href="/farshid/content/books-camera-calibration.md">Camera Calibration and Video Stabilization Framework for Robot Localization</a></li>
    <li><a href="/farshid/content/books-computational-intelligence.md">Computational Intelligence: From Theory to Application</a></li>
    <li><a href="/farshid/content/books-opencv5-ch2.md">Mastering AI and Machine Learning: A Comprehensive Summary</a></li>
    <li><a href="/farshid/content/books-opencv5-ch1.md">Mastering AI and Machine Learning: Essential Glossary, Resources, and References</a></li>
    <li><a href="/farshid/content/books-opencv5-ch3.md">OpenCV 5 — Chapter 3: Advanced Topics</a></li>
    <li><a href="/farshid/content/books-new-developer-era.md">The New Developer Era: Transforming Your Career and Building Production Ready AI Agents in 2027</a></li>
  </ul>
  <h3 class="atlas-sub" id="journal-articles">Journal Articles <span class="atlas-count">6</span></h3>
  <ul class="atlas-list">
    <li><a href="/farshid/content/journals-ant-colony.md">Ant Colony Optimization for Image Edge Detection</a></li>
    <li><a href="/farshid/content/journals-adaptive-thresholding.md">Mind Map: Adaptive Image Thresholding Based on PSNR</a></li>
    <li><a href="/farshid/content/journals-character-recognition.md">Mind Map: Character and Object Recognition Based on Global Feature Extraction</a></li>
    <li><a href="/farshid/content/journals-fuzzy-thresholding.md">Mind Map: GSFT-PSNR Global Single Fuzzy Threshold</a></li>
    <li><a href="/farshid/content/journals-psnr-segmentation.md">Mind Map: Peak Signal-to-Noise Ratio Based on Threshold Method for Image Segmentation</a></li>
    <li><a href="/farshid/content/journals-3d-slam-humanoid.md">Simultaneous Localization and Mapping Trends and Humanoid Robot Linkages</a></li>
  </ul>
  <h3 class="atlas-sub" id="conference-papers">Conference Papers <span class="atlas-count">10</span></h3>
  <ul class="atlas-list">
    <li><a href="/farshid/content/papers-adaptive-segmentation.md">Adaptive Image Segmentation Based on PSNR for License Plate Recognition</a></li>
    <li><a href="/farshid/content/papers-geometrical-topological.md">An Evaluation of Classification Techniques Using Enhanced Geometrical Topological Feature Analysis</a></li>
    <li><a href="/farshid/content/papers-multimodal-calibration.md">Camera Calibration for Multi-Modal Robot Vision</a></li>
    <li><a href="/farshid/content/papers-global-feature-recognition.md">Character Recognition Based on Global Feature Extraction</a></li>
    <li><a href="/farshid/content/papers-handwritten-thresholding.md">Comparison Single Thresholding Method for Handwritten Images Segmentation</a></li>
    <li><a href="/farshid/content/papers-license-plate-recognition.md">License Plate Recognition with Multi-threshold based on Entropy</a></li>
    <li><a href="/farshid/content/papers-multi-threshold-plate.md">Multi-threshold Approach for License Plate Recognition System</a></li>
    <li><a href="/farshid/content/papers-2d-3d-mapping.md">Paper: 2D versus 3D Map for Environment Movement Objects</a></li>
    <li><a href="/farshid/content/papers-pattern-calibration.md">Pattern Image Significance for Camera Calibration</a></li>
    <li><a href="/farshid/content/papers-grid-computing.md">TafreshGrid: Grid Computing in Tafresh University</a></li>
  </ul>
  <h3 class="atlas-sub" id="patents">Patents <span class="atlas-count">3</span></h3>
  <ul class="atlas-list">
    <li><a href="/farshid/content/patents-face-augmentation.md">Face Image Augmentation WO2021060971A1</a></li>
    <li><a href="/farshid/content/patents-vehicle-detection.md">Mind Map: A Method for Detecting a Moving Vehicle</a></li>
    <li><a href="/farshid/content/patents-facial-analysis.md">Patent Application WO 2020/141969 A2 - Digital Advertising System</a></li>
  </ul>
  <h3 class="atlas-sub" id="profile">Profile <span class="atlas-count">1</span></h3>
  <ul class="atlas-list">
    <li><a href="/farshid/content/computer-vision.md">Me</a></li>
  </ul>
</section>

<section class="atlas-sec" id="courses">
  <h2>Courses</h2>
  <ul class="atlas-list">
    <li><a href="/farshid/content/course-modern-cpp.md">Advanced Programming with Modern C++ 23 for Image Processing</a></li>
    <li><a href="/farshid/content/course-ai-hardware.md">AI Hardware Accelerators</a></li>
    <li><a href="/farshid/content/course-ai-engineers-guide.md">Book Summaries</a></li>
    <li><a href="/farshid/content/course-cloud-native.md">Cloud-Native Infrastructure with Kubernetes</a></li>
    <li><a href="/farshid/content/course-edge-ai-summit.md">Edge AI Summit 2020 (Nov 18-20)</a></li>
    <li><a href="/farshid/content/course-iot.md">Embedded IoT</a></li>
    <li><a href="/farshid/content/course-full-stack-dl.md">Full Stack Deep Learning</a></li>
    <li><a href="/farshid/content/course-full-stack-dl-2022.md">Full Stack Deep Learning 2022</a></li>
    <li><a href="/farshid/content/course-iot-scholarship.md">IoT Scholarship Foundation</a></li>
    <li><a href="/farshid/content/course-ml-specialization.md">Machine Learning Specialization 2022</a></li>
    <li><a href="/farshid/content/course-metaverse.md">Metaverse &amp; XR</a></li>
    <li><a href="/farshid/content/course-mlops.md">MLOps — Machine Learning Engineering for Production</a></li>
    <li><a href="/farshid/content/course-openvino.md">OpenVINO Deep Learning</a></li>
    <li><a href="/farshid/content/course-parallel-computing.md">Parallel Programming</a></li>
    <li><a href="/farshid/content/course-risc-v.md">RISC-V for AI</a></li>
    <li><a href="/farshid/content/course-ros.md">ROS — Robot Operating System</a></li>
    <li><a href="/farshid/content/course-tensorflow-deploy.md">TensorFlow: Data and Deployment Specialization</a></li>
    <li><a href="/farshid/content/course-tesla.md">Tesla AI</a></li>
  </ul>
</section>

<section class="atlas-sec" id="notes-guides">
  <h2>Notes &amp; Guides</h2>
  <ul class="atlas-list">
    <li><a href="/farshid/content/note-llm-blog.md">2025</a></li>
    <li><a href="/farshid/content/note-swarm.md">Agent Swarm</a></li>
    <li><a href="/farshid/content/wiki.md">All Pages</a></li>
    <li><a href="/farshid/content/note-llm-avatar.md">Building a Local Video Avatar Generator Using Ollama and Open-Source Tools</a></li>
    <li><a href="/farshid/content/note-coaching-roadmap.md">Computer Vision Expertise: Teaching &amp; Coaching Services</a></li>
    <li><a href="/farshid/content/conference-paper.md">Conference Papers</a></li>
    <li><a href="/farshid/content/note-developer-tools.md">Developer Tools &amp; Setup Guide</a></li>
    <li><a href="/farshid/content/note-computer-vision-overview.md">Dr. Farshid Pirahansiah</a></li>
    <li><a href="/farshid/content/note-startup-guide.md">Edge AI Solutions: Local LLM Implementation Business Plan</a></li>
    <li><a href="/farshid/content/note-cpp.md">git</a></li>
    <li><a href="/farshid/content/note-pycuda.md">How PyCUDA Reads and Runs C Kernels</a></li>
    <li><a href="/farshid/content/prompts.md">LLM Prompts for Knowledge Graph</a></li>
    <li><a href="/farshid/content/metamask.md">MetaMask — Connect &amp; Receive</a></li>
    <li><a href="/farshid/content/note-llm-agents.md">Mind Map: Orchestrating Agents</a></li>
    <li><a href="/farshid/content/note-llm-concepts.md">Mind Map: Orchestrating Agents &amp; Advanced LLM Concepts</a></li>
    <li><a href="/farshid/content/note-linkedin-2024.md">My Top LinkedIn Posts from the Past Year</a></li>
    <li><a href="/farshid/content/note-apple-ml.md">Numba JIT Tutorial and PyCUDA with Apple Silicon Adaptation</a></li>
    <li><a href="/farshid/content/note-optical-flow.md">Optical Flow: Challenges and Solutions</a></li>
    <li><a href="/farshid/content/note-optimization-guide.md">Optimization</a></li>
    <li><a href="/farshid/content/optimization-index.md">Optimization</a></li>
    <li><a href="/farshid/content/product.md">Product</a></li>
    <li><a href="/farshid/content/note-prompt-templates.md">Prompt Engineering Templates</a></li>
    <li><a href="/farshid/content/note-python-configuration.md">Python</a></li>
    <li><a href="/farshid/content/note-3d-vision.md">Real-Time 3D Point Cloud Generation and Visualization from Depth Data</a></li>
    <li><a href="/farshid/content/note-multi-camera.md">Real-Time Multi-Camera Vision Systems</a></li>
    <li><a href="/farshid/content/k2-horizon-local.md">Running K2-Horizon Locally on Apple Silicon (M3, 16GB)</a></li>
    <li><a href="/farshid/content/note-cuda-vscode.md">Simple Setting Up a CUDA Development Environment in VS Code in Windows</a></li>
    <li><a href="/farshid/content/menus.md">Sitemap — All Pages</a></li>
    <li><a href="/farshid/content/solana-games.md">Solana Arcade</a></li>
    <li><a href="/farshid/content/solutions.md">Solutions</a></li>
    <li><a href="/farshid/content/crypto.md">Support via Crypto</a></li>
    <li><a href="/farshid/content/use-cases.md">Table of Contents</a></li>
    <li><a href="/farshid/content/terms.md">Terms of Service</a></li>
    <li><a href="/farshid/content/note-seo-for-llms.md">The New Era of SEO: Optimizing Websites for LLMs</a></li>
    <li><a href="/farshid/content/note-shell-vim.md">tools</a></li>
    <li><a href="/farshid/content/why-hermes.md">Why Hermes: One Agent Over Dots, Muse Code &amp; Grok Build</a></li>
    <li><a href="/farshid/content/why-not.md">Why This Site Exists</a></li>
    <li><a href="/farshid/content/game.md">🎮 Arcade</a></li>
    <li><a href="/farshid/content/note-numba.md">🚀 Accelerate Python with Numba’s @jit(nopython=True) 🚀</a></li>
  </ul>
</section>

<section class="atlas-sec" id="downloads">
  <h2>Downloads</h2>
  <h3 class="atlas-sub" id="books-guides">Books &amp; guides <span class="atlas-count">2</span></h3>
  <ul class="atlas-list">
    <li><a href="/farshid/downloads/cv-engineers-guide.pdf" target="_blank" rel="noopener" title="The collected edition — every guide above in one PDF (406 pages).">Computer Vision &amp; AI — A Practical Engineer's Guide</a> <span class="atlas-count">406 pp · 10.6 MB</span></li>
    <li><a href="/farshid/downloads/opencv5-cheatsheet.pdf" target="_blank" rel="noopener" title="The collected edition — every guide above in one PDF (3 pages).">Opencv5 Cheatsheet</a> <span class="atlas-count">3 pp · 2.1 MB</span></li>
  </ul>
  <h3 class="atlas-sub" id="computer-vision">Computer Vision <span class="atlas-count">4</span></h3>
  <ul class="atlas-list">
    <li><a href="/farshid/downloads/3d-vision-multi-camera.pdf" target="_blank" rel="noopener" title="A practical deep dive into stereo vision, depth estimation, point clouds, and synchronized multi-camera pipelines for production computer vision — from camera calibration to real-time 3D reconstruction.">3D Vision &amp; Multi-Camera Systems</a> <span class="atlas-count">36 pp · 1.7 MB</span></li>
    <li><a href="/farshid/downloads/cv-coaching-roadmap.pdf" target="_blank" rel="noopener" title="A structured learning path from CV fundamentals to production systems — the exact skills, tools, and milestones to become a computer vision engineer.">Computer Vision Coaching Roadmap</a> <span class="atlas-count">4 pp · 336 KB</span></li>
    <li><a href="/farshid/downloads/optical-flow.pdf" target="_blank" rel="noopener" title="Dense and sparse optical flow algorithms explained with real-world tradeoffs: handling illumination change, occlusion, and fast motion in video analysis and tracking systems.">Optical Flow — Motion Estimation</a> <span class="atlas-count">6 pp · 164 KB</span></li>
    <li><a href="/farshid/downloads/multi-camera-systems.pdf" target="_blank" rel="noopener" title="How to scale computer vision from 2 to 100+ synchronized cameras using GStreamer and GPU acceleration — hardware selection, synchronization, and pipeline design.">Real-Time Multi-Camera Systems</a> <span class="atlas-count">7 pp · 461 KB</span></li>
  </ul>
  <h3 class="atlas-sub" id="cuda-gpu">CUDA &amp; GPU <span class="atlas-count">4</span></h3>
  <ul class="atlas-list">
    <li><a href="/farshid/downloads/apple-silicon-ml.pdf" target="_blank" rel="noopener" title="Run and optimize machine learning on Apple Silicon with MLX, CoreML, and Metal — the frameworks, workflows, and best practices.">Apple Silicon ML — MLX, CoreML &amp; Metal</a> <span class="atlas-count">4 pp · 331 KB</span></li>
    <li><a href="/farshid/downloads/cuda-vscode.pdf" target="_blank" rel="noopener" title="A complete setup guide for CUDA development in VS Code on Windows — toolchain installation, IntelliSense, build tasks, and debugging.">CUDA in VS Code on Windows</a> <span class="atlas-count">4 pp · 1.8 MB</span></li>
    <li><a href="/farshid/downloads/numba-jit.pdf" target="_blank" rel="noopener" title="Speed up Python loops with just-in-time compilation. A hands-on Numba tutorial covering @jit, @vectorize, and GPU kernels with practical performance examples.">Numba JIT — Accelerate Python Loops</a> <span class="atlas-count">5 pp · 716 KB</span></li>
    <li><a href="/farshid/downloads/pycuda.pdf" target="_blank" rel="noopener" title="Write custom CUDA kernels directly from Python: memory management, grid/block configuration, and kernel optimization explained step by step.">PyCUDA — CUDA Kernels from Python</a> <span class="atlas-count">4 pp · 614 KB</span></li>
  </ul>
  <h3 class="atlas-sub" id="ai-llms">AI &amp; LLMs <span class="atlas-count">3</span></h3>
  <ul class="atlas-list">
    <li><a href="/farshid/downloads/llm-concepts.pdf" target="_blank" rel="noopener" title="Transformer architecture, attention mechanisms, RAG, embeddings, and scaling laws — a clear technical guide for anyone building with LLMs.">Advanced LLM Concepts</a> <span class="atlas-count">7 pp · 364 KB</span></li>
    <li><a href="/farshid/downloads/video-avatar.pdf" target="_blank" rel="noopener" title="Build a local AI video avatar with Ollama and Wav2Lip — a complete tutorial for offline talking-head generation with no cloud dependency.">Local Video Avatar Generator</a> <span class="atlas-count">7 pp · 361 KB</span></li>
    <li><a href="/farshid/downloads/ai-agents.pdf" target="_blank" rel="noopener" title="Multi-agent systems, tool use, and RAG pipelines — how to design, coordinate, and deploy autonomous AI agents in production.">Orchestrating AI Agents</a> <span class="atlas-count">3 pp · 694 KB</span></li>
  </ul>
  <h3 class="atlas-sub" id="optimization">Optimization <span class="atlas-count">2</span></h3>
  <ul class="atlas-list">
    <li><a href="/farshid/downloads/model-optimization.pdf" target="_blank" rel="noopener" title="Model quantization, pruning, and edge deployment strategies to make models smaller, faster, and cheaper to run on any hardware.">CV, DL &amp; ML Model Optimization</a> <span class="atlas-count">10 pp · 485 KB</span></li>
    <li><a href="/farshid/downloads/prompt-templates.pdf" target="_blank" rel="noopener" title="Reusable LLM prompt patterns and templates to get better, more consistent results from ChatGPT, Claude, and local models.">Prompt Engineering Templates</a> <span class="atlas-count">1 pp · 160 KB</span></li>
  </ul>
  <h3 class="atlas-sub" id="programming">Programming <span class="atlas-count">4</span></h3>
  <ul class="atlas-list">
    <li><a href="/farshid/downloads/cpp-reference.pdf" target="_blank" rel="noopener" title="A concise C++ cheat sheet: stack vs heap memory, STL containers, debugging, and Linux essentials — the reference you'll reach for daily.">C++ Quick Reference</a> <span class="atlas-count">2 pp · 180 KB</span></li>
    <li><a href="/farshid/downloads/dev-tools.pdf" target="_blank" rel="noopener" title="Essential developer tooling: Docker workflows, GitHub tricks, and CLI tools for modern software engineering and DevOps.">Developer Tools &amp; Setup</a> <span class="atlas-count">3 pp · 293 KB</span></li>
    <li><a href="/farshid/downloads/python-config.pdf" target="_blank" rel="noopener" title="ConfigParser, argparse, pydantic, hydra, pybind11, and Cython — production-grade Python configuration and C/C++ binding patterns.">Python Configuration &amp; Binding</a> <span class="atlas-count">5 pp · 484 KB</span></li>
    <li><a href="/farshid/downloads/shell-vim.pdf" target="_blank" rel="noopener" title="Terminal essentials and Vim basics — a quick reference for working faster in the shell and editing like a pro.">Shell &amp; Vim Reference</a> <span class="atlas-count">1 pp · 125 KB</span></li>
  </ul>
  <h3 class="atlas-sub" id="business">Business <span class="atlas-count">3</span></h3>
  <ul class="atlas-list">
    <li><a href="/farshid/downloads/seo-llm.pdf" target="_blank" rel="noopener" title="Structured data and AI-friendly content optimization to get your content surfaced by LLM search engines and answer engines.">SEO for LLM-Powered Search</a> <span class="atlas-count">3 pp · 247 KB</span></li>
    <li><a href="/farshid/downloads/startup-guide.pdf" target="_blank" rel="noopener" title="A complete edge-AI business plan, a fundraising guide for Germany, pitch deck templates, and growth strategies for startup founders.">Startup Guide — Edge AI &amp; Fundraising</a> <span class="atlas-count">131 pp · 2.1 MB</span></li>
    <li><a href="/farshid/downloads/linkedin-posts.pdf" target="_blank" rel="noopener" title="High-performing technical LinkedIn posts on camera calibration, C++, and robotics — inspiration and templates for technical content.">Top LinkedIn Posts — Technical Writing</a> <span class="atlas-count">5 pp · 338 KB</span></li>
  </ul>
  <h3 class="atlas-sub" id="research">Research <span class="atlas-count">1</span></h3>
  <ul class="atlas-list">
    <li><a href="/farshid/downloads/portfolio.pdf" target="_blank" rel="noopener" title="A complete portfolio of patents, books, journal papers, and projects — 12+ years of computer vision and AI research at a glance.">Portfolio &amp; Publications</a> <span class="atlas-count">3 pp · 223 KB</span></li>
  </ul>
  <h3 class="atlas-sub" id="source-files">Source files <span class="atlas-count">5</span></h3>
  <ul class="atlas-list">
    <li><a href="/farshid/downloads/optimization.md" download>Local LLM optimization notes</a> <span class="atlas-count">11 KB</span></li>
    <li><a href="/farshid/downloads/local-llm-source.zip" download>Local LLM optimization — source archive (2026-09-05)</a> <span class="atlas-count">10 KB</span></li>
    <li><a href="/farshid/downloads/optimize-llm.sh" download>Local LLM tuning script</a> <span class="atlas-count">7 KB</span></li>
    <li><a href="/farshid/downloads/prompts.md" download>Prompt templates — source text</a> <span class="atlas-count">4 KB</span></li>
    <li><a href="/farshid/downloads/store-listings.txt" download>Store listing copy (source text)</a> <span class="atlas-count">9 KB</span></li>
  </ul>
</section>

<section class="atlas-sec" id="mentoring-coaching">
  <h2>Mentoring &amp; Coaching</h2>
  <ul class="atlas-list">
    <li><a href="/farshid/content/10-years.md">10 Years of CV Debugging Lessons</a></li>
    <li><a href="/farshid/content/LocalLLMonMac.md">LocalLLMonMac</a></li>
    <li><a href="/farshid/content/post.md">Mentoring, Consulting &amp; Coaching</a></li>
    <li><a href="/farshid/content/qwen-image-21-local.md">Qwen-Image-2.1 on an 8 GB laptop GPU: install, configure, and the one node that broke it</a></li>
    <li><a href="/farshid/content/TernaryBonsai2.md">Small weights, big context: running a 2-bit model on an 8 GB laptop GPU</a></li>
    <li><a href="/farshid/content/localAI.md">Tips and tricks to run a local model for Hermes Agent on your laptop</a></li>
  </ul>
</section>

<section class="atlas-sec" id="talks-presentations-keynotes">
  <h2>Talks, Presentations &amp; Keynotes</h2>
  <h3 class="atlas-sub" id="presentations-slide-decks">Presentations &amp; Slide Decks <span class="atlas-count">5</span></h3>
  <ul class="atlas-list">
    <li><a href="presentation-research-tools">The New Era of Research Tools</a></li>
    <li><a href="presentation">Hermes Agent for Research Assistance</a></li>
    <li><a href="presentation-cv">Hermes Agent for Big Computer Vision Projects</a></li>
    <li><a href="presentation-updates">Hermes Agent — Recent Updates &amp; Complete Feature Guide</a></li>
    <li><a href="presentation-llm-optimization">New LLM Optimization Methods — Run Local &amp; Fast</a></li>
  </ul>
  <ul class="atlas-list">
    <li><a href="/farshid/content/presentation-updates.md">Hermes Agent</a></li>
    <li><a href="/farshid/content/presentation-cv.md">Hermes Agent for Big Computer Vision Projects</a></li>
    <li><a href="/farshid/content/presentation.md">Hermes Agent for Research Assistance</a></li>
    <li><a href="/farshid/content/presentation-llm-optimization.md">New LLM Optimization Methods</a></li>
    <li><a href="/farshid/content/slides-token-optimization.md">Reducing Token Usage</a></li>
    <li><a href="/farshid/content/research-tools.md">Research Tools — Talks, Presentations &amp; Keynotes</a></li>
    <li><a href="/farshid/content/presentation-research-tools.md">The New Era of Research Tools</a></li>
    <li><a href="/farshid/content/keynotes-llm-cv.md">Where LLMs Meet Computer Vision: Unlocking Multimodal AI</a></li>
  </ul>
</section>

<section class="atlas-sec" id="site-pages">
  <h2>Site Pages</h2>
  <ul class="atlas-list">
    <li><a href="/farshid/content/index.html">Home — about &amp; overview</a></li>
    <li><a href="/farshid/content/atlas">Atlas — this index</a></li>
    <li><a href="/farshid/content/swarm.html">Search Swarm — one search for the whole knowledge base</a></li>
    <li><a href="/farshid/content/qr.md">Scan &amp; Share — all links + QR codes</a></li>
    <li><a href="/farshid/content/contact.md">Contact</a></li>
    <li><a href="/farshid/content/privacy.md">Privacy</a></li>
  </ul>
</section>

<section class="atlas-sec" id="projects">
  <h2>Projects</h2>
  <ul class="atlas-list">
    <li><a href="/farshid/projects/claude-config/README.md">Understanding model output — text, diagrams, pages, video — claude-config</a></li>
    <li><a href="/farshid/projects/html-motion-graphic/README.md">HTML motion graphic — html-motion-graphic</a></li>
    <li><a href="/farshid/projects/llm-tools/README.md">llm-tools</a></li>
    <li><a href="/farshid/projects/mimo/README.md">mimo</a></li>
    <li><a href="/farshid/projects/rag/README.md">rag</a></li>
    <li><a href="/farshid/projects/site-tools/README.md">site-tools</a></li>
  </ul>
</section>

<p class="atlas-note">Generated index — every page is one markdown file under <code>content/</code>; downloadable resources are grouped in <code>downloads/</code>.</p>