mirror of
https://github.com/MLSysBook/TinyTorch.git
synced 2026-03-09 09:22:49 -05:00
136 lines
4.3 KiB
HTML
136 lines
4.3 KiB
HTML
<!DOCTYPE html>
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<html lang="en">
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<head>
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<meta charset="UTF-8">
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<meta name="viewport" content="width=device-width, initial-scale=1.0">
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<title>About TinyTorch</title>
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<style>
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body {
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margin: 0;
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font-family: 'Courier New', Courier, monospace;
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background-color: #f0f4f8;
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/* Graph Paper Grid Logic */
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background-image:
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linear-gradient(90deg, rgba(0, 0, 0, 0.05) 1px, transparent 1px),
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linear-gradient(rgba(0, 0, 0, 0.05) 1px, transparent 1px);
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background-size: 20px 20px;
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color: #333;
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display: flex;
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flex-direction: column;
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align-items: center;
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min-height: 100vh;
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}
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.container {
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margin-top: 100px; /* Space for menu button */
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margin-bottom: 50px;
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width: 90%;
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max-width: 900px;
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background: rgba(255, 255, 255, 0.95);
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border: 1px solid #333;
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box-shadow: 8px 8px 0px rgba(0,0,0,0.1);
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padding: 50px;
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box-sizing: border-box;
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}
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h1 {
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margin-top: 0;
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border-bottom: 2px dashed #333;
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padding-bottom: 10px;
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text-transform: uppercase;
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letter-spacing: 2px;
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font-size: 2rem;
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}
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.intro-text {
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font-family: 'Verdana', sans-serif;
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font-size: 1.1rem;
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line-height: 1.6;
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color: #444;
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margin-bottom: 40px;
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border-left: 4px solid #ff6600;
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padding-left: 20px;
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}
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.step {
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margin-bottom: 30px;
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}
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.step h3 {
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margin: 0 0 10px 0;
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font-size: 1.2rem;
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color: #222;
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font-family: 'Verdana', sans-serif;
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}
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.step p {
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font-family: 'Verdana', sans-serif;
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font-size: 0.95rem;
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color: #555;
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margin: 5px 0 15px 0;
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line-height: 1.5;
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}
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.code-block {
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background: #2d2d2d;
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color: #50fa7b;
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padding: 15px;
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border-radius: 6px;
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font-family: 'Courier New', Courier, monospace;
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font-size: 0.9rem;
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overflow-x: auto;
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white-space: pre-wrap;
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box-shadow: inset 0 0 10px rgba(0,0,0,0.5);
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border: 1px solid #000;
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}
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small {
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color: #777;
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font-weight: normal;
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font-size: 0.8em;
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}
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</style>
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</head>
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<body>
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<div class="container">
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<h1>About TinyTorch</h1>
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<div class="intro-text">
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<strong>TinyTorch</strong> is an educational deep learning framework designed to demystify AI.
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Rather than just using libraries, you build one. Through a series of progressive modules,
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you will construct your own tensor library, implement autograd, and build neural networks from scratch,
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gaining a mastery of the systems that power modern AI.
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</div>
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<h2>Get Started with TinyTorch CLI</h2>
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<div class="step">
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<h3>1. Clone & Setup</h3>
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<div class="code-block">$ git clone https://github.com/MLSysBook/TinyTorch.git
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$ cd TinyTorch && ./setup-environment.sh
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$ source activate.sh</div>
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</div>
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<div class="step">
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<h3>2. Login to Community <small>(Optional)</small></h3>
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<div class="code-block">$ tito login</div>
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<p>Create an account and join the builder community. Track your progress and share achievements.</p>
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</div>
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<div class="step">
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<h3>3. Start Building</h3>
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<div class="code-block">$ tito module start 01_tensor</div>
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<p>Begin with Module 01 and work through 20 progressive modules. Each completion is automatically shared with the community.</p>
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</div>
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<div class="step">
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<h3>4. Complete & Share</h3>
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<div class="code-block">$ tito module complete 01_tensor</div>
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<p>When you complete a module, you'll be prompted to share your achievement. Your progress appears here instantly.</p>
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</div>
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</div>
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<script src="layout.js"></script>
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</body>
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</html> |