rustorch 0.5.0

Production-ready PyTorch-compatible deep learning library in Rust with special mathematical functions (gamma, Bessel, error functions), statistical distributions, Fourier transforms (FFT/RFFT), matrix decomposition (SVD/QR/LU/eigenvalue), automatic differentiation, neural networks, computer vision transforms, complete GPU acceleration (CUDA/Metal/OpenCL), SIMD optimizations, parallel processing, WebAssembly browser support, comprehensive distributed learning support, and performance validation
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<!DOCTYPE html>
<html lang="en">
<head>
    <meta charset="UTF-8">
    <meta name="viewport" content="width=device-width, initial-scale=1.0">
    <title>RusTorch Visualization</title>
    <style>
        body {
            font-family: Arial, sans-serif;
            margin: 20px;
            background-color: #f5f5f5;
        }
        .container {
            background-color: white;
            padding: 20px;
            border-radius: 8px;
            box-shadow: 0 2px 4px rgba(0,0,0,0.1);
            text-align: center;
        }
        h1 {
            color: #333;
            margin-bottom: 20px;
        }
        .plot-container {
            display: inline-block;
            margin: 10px;
            padding: 10px;
            border: 1px solid #ddd;
            border-radius: 4px;
            background-color: #fafafa;
        }
    </style>
</head>
<body>
    <div class="container">
        <h1>RusTorch Visualization</h1>
        <div class="plot-container">
            <!DOCTYPE html>
<html lang="en">
<head>
    <meta charset="UTF-8">
    <meta name="viewport" content="width=device-width, initial-scale=1.0">
    <title>RusTorch Visualization Dashboard</title>
    <style>
        body {
            font-family: Arial, sans-serif;
            margin: 0;
            padding: 20px;
            background-color: #f5f5f5;
        }
        .header {
            background: linear-gradient(135deg, #667eea 0%, #764ba2 100%);
            color: white;
            padding: 30px;
            border-radius: 8px;
            margin-bottom: 30px;
            text-align: center;
        }
        .header h1 {
            margin: 0;
            font-size: 2.5em;
            font-weight: 300;
        }
        .header p {
            margin: 10px 0 0 0;
            opacity: 0.9;
        }
        .dashboard {
            display: grid;
            grid-template-columns: repeat(auto-fit, minmax(400px, 1fr));
            gap: 20px;
        }
        .plot-section {
            background-color: white;
            border-radius: 8px;
            box-shadow: 0 2px 4px rgba(0,0,0,0.1);
            overflow: hidden;
        }
        .plot-section h2 {
            background-color: #f8f9fa;
            margin: 0;
            padding: 15px 20px;
            color: #333;
            border-bottom: 1px solid #e9ecef;
            font-size: 1.2em;
        }
        .plot-container {
            padding: 20px;
            text-align: center;
        }
        .footer {
            text-align: center;
            margin-top: 40px;
            padding: 20px;
            color: #666;
            font-size: 14px;
            background-color: white;
            border-radius: 8px;
        }
    </style>
</head>
<body>
    <div class="header">
        <h1>RusTorch Visualization Dashboard</h1>
        <p>Comprehensive visualization of training progress and model analysis</p>
    </div>
    
    <div class="dashboard">
        
        <div class="plot-section">
            <h2>1. Training Loss</h2>
            <div class="plot-container">
                <svg width="300" height="200"><rect x="10" y="10" width="280" height="180" fill="#e3f2fd" stroke="#1976d2"/><text x="150" y="100" text-anchor="middle" font-family="Arial">Training Loss Chart</text></svg>
            </div>
        </div>
        <div class="plot-section">
            <h2>2. Validation Accuracy</h2>
            <div class="plot-container">
                <svg width="300" height="200"><rect x="10" y="10" width="280" height="180" fill="#e8f5e8" stroke="#4caf50"/><text x="150" y="100" text-anchor="middle" font-family="Arial">Accuracy Chart</text></svg>
            </div>
        </div>
        <div class="plot-section">
            <h2>3. Model Architecture</h2>
            <div class="plot-container">
                <svg width="300" height="200"><rect x="10" y="10" width="280" height="180" fill="#fff3e0" stroke="#ff9800"/><text x="150" y="100" text-anchor="middle" font-family="Arial">Model Diagram</text></svg>
            </div>
        </div>
    </div>
    
    <div class="footer">
        Generated by RusTorch v0.3.5 • 3 plots
    </div>
</body>
</html>
        </div>
        <p style="color: #666; font-size: 12px; margin-top: 20px;">
            Generated by RusTorch v0.3.5
        </p>
    </div>
</body>
</html>