Spaces:
Running
Running
Add 2 files
Browse files- README.md +7 -5
- index.html +312 -19
README.md
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---
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title:
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emoji:
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colorFrom:
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colorTo:
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sdk: static
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pinned: false
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---
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Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
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title: test
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emoji: 🐳
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colorFrom: red
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colorTo: gray
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sdk: static
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pinned: false
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tags:
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- deepsite
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---
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Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
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index.html
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<!
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<html>
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<!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>Neural Network Catalog</title>
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<script src="https://cdn.tailwindcss.com"></script>
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<link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.0/css/all.min.css">
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<style>
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.gradient-bg {
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background: linear-gradient(135deg, #6e8efb, #a777e3);
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}
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.network-card:hover {
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transform: translateY(-5px);
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box-shadow: 0 20px 25px -5px rgba(0, 0, 0, 0.1), 0 10px 10px -5px rgba(0, 0, 0, 0.04);
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}
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.network-card {
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transition: all 0.3s ease;
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}
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.tag {
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transition: all 0.2s ease;
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}
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.tag:hover {
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transform: scale(1.05);
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}
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.search-input:focus {
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box-shadow: 0 0 0 3px rgba(110, 142, 251, 0.3);
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}
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.type-filter.active {
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background-color: #6e8efb;
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color: white;
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}
|
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</style>
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</head>
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<body class="bg-gray-50 min-h-screen">
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<!-- Header -->
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<header class="gradient-bg text-white shadow-lg">
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<div class="container mx-auto px-4 py-6">
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<div class="flex justify-between items-center">
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<div class="flex items-center space-x-2">
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<i class="fas fa-brain text-3xl"></i>
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<h1 class="text-2xl font-bold">Neural Network Catalog</h1>
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</div>
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<div class="hidden md:flex space-x-4">
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<a href="#" class="hover:underline">Home</a>
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<a href="#" class="hover:underline">About</a>
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<a href="#" class="hover:underline">Contribute</a>
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</div>
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<button class="md:hidden text-2xl">
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<i class="fas fa-bars"></i>
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</button>
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</div>
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</div>
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</header>
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<!-- Hero Section -->
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<section class="gradient-bg text-white py-16">
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<div class="container mx-auto px-4 text-center">
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<h2 class="text-4xl font-bold mb-4">Explore Powerful Neural Networks</h2>
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<p class="text-xl mb-8 max-w-2xl mx-auto">Discover, compare, and implement state-of-the-art neural network architectures for your projects.</p>
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<div class="max-w-2xl mx-auto relative">
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<input type="text" placeholder="Search for networks (e.g., CNN, Transformer, GAN...)"
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class="w-full px-6 py-4 rounded-full text-gray-800 focus:outline-none search-input">
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<button class="absolute right-2 top-2 bg-blue-600 text-white px-4 py-2 rounded-full hover:bg-blue-700">
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<i class="fas fa-search"></i>
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</button>
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</div>
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</div>
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</section>
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<!-- Main Content -->
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<main class="container mx-auto px-4 py-12">
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<!-- Filters -->
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<div class="mb-8">
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<div class="flex flex-wrap justify-between items-center mb-6">
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<h3 class="text-2xl font-semibold text-gray-800">Featured Networks</h3>
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<div class="flex space-x-2">
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<button class="px-3 py-1 bg-gray-200 rounded-full text-sm type-filter active" data-type="all">All</button>
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<button class="px-3 py-1 bg-gray-200 rounded-full text-sm type-filter" data-type="vision">Vision</button>
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<button class="px-3 py-1 bg-gray-200 rounded-full text-sm type-filter" data-type="nlp">NLP</button>
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<button class="px-3 py-1 bg-gray-200 rounded-full text-sm type-filter" data-type="generative">Generative</button>
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<button class="px-3 py-1 bg-gray-200 rounded-full text-sm type-filter" data-type="other">Other</button>
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</div>
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</div>
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</div>
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+
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<!-- Network Grid -->
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<div class="grid grid-cols-1 md:grid-cols-2 lg:grid-cols-3 gap-8" id="network-grid">
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<!-- Network cards will be inserted here by JavaScript -->
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</div>
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+
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<!-- Load More Button -->
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<div class="text-center mt-12">
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<button class="px-6 py-3 bg-blue-600 text-white rounded-lg hover:bg-blue-700 transition" id="load-more">
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Load More Networks
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</button>
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</div>
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</main>
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<!-- Footer -->
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<footer class="bg-gray-800 text-white py-12">
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<div class="container mx-auto px-4">
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<div class="grid grid-cols-1 md:grid-cols-3 gap-8">
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<div>
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<h4 class="text-xl font-semibold mb-4">Neural Network Catalog</h4>
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<p class="text-gray-400">Your one-stop resource for discovering and implementing neural networks.</p>
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</div>
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<div>
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<h4 class="text-xl font-semibold mb-4">Quick Links</h4>
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<ul class="space-y-2">
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<li><a href="#" class="text-gray-400 hover:text-white">Documentation</a></li>
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<li><a href="#" class="text-gray-400 hover:text-white">API Reference</a></li>
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<li><a href="#" class="text-gray-400 hover:text-white">GitHub</a></li>
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</ul>
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</div>
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<div>
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<h4 class="text-xl font-semibold mb-4">Connect</h4>
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<div class="flex space-x-4">
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<a href="#" class="text-gray-400 hover:text-white text-2xl"><i class="fab fa-twitter"></i></a>
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120 |
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<a href="#" class="text-gray-400 hover:text-white text-2xl"><i class="fab fa-github"></i></a>
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121 |
+
<a href="#" class="text-gray-400 hover:text-white text-2xl"><i class="fab fa-discord"></i></a>
|
122 |
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</div>
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</div>
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</div>
|
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<div class="border-t border-gray-700 mt-8 pt-8 text-center text-gray-400">
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<p>© 2023 Neural Network Catalog. All rights reserved.</p>
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</div>
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</div>
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</footer>
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<!-- JavaScript -->
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<script>
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// Sample network data
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const networks = [
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{
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id: 1,
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name: "ResNet-50",
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type: "vision",
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description: "Deep residual network with 50 layers for image classification.",
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tags: ["CNN", "ImageNet", "Classification"],
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stars: 4.8,
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implementations: ["PyTorch", "TensorFlow", "Keras"],
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paper: "https://arxiv.org/abs/1512.03385"
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},
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{
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id: 2,
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name: "BERT",
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type: "nlp",
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description: "Bidirectional Encoder Representations from Transformers for natural language understanding.",
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tags: ["Transformer", "NLP", "Pre-trained"],
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stars: 4.9,
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implementations: ["HuggingFace", "TensorFlow", "PyTorch"],
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paper: "https://arxiv.org/abs/1810.04805"
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},
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{
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id: 3,
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name: "StyleGAN2",
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type: "generative",
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description: "Generative adversarial network for high-quality image generation with style control.",
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tags: ["GAN", "Image Generation", "Style Transfer"],
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stars: 4.7,
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implementations: ["TensorFlow", "PyTorch"],
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paper: "https://arxiv.org/abs/1912.04958"
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},
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{
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id: 4,
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name: "YOLOv5",
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type: "vision",
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description: "Real-time object detection system with high accuracy and speed.",
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tags: ["Object Detection", "Real-time", "CNN"],
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stars: 4.6,
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implementations: ["PyTorch"],
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paper: "https://arxiv.org/abs/1506.02640"
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},
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{
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id: 5,
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name: "GPT-3",
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type: "nlp",
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description: "Generative Pre-trained Transformer 3 for advanced language tasks.",
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tags: ["Transformer", "Language Model", "OpenAI"],
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stars: 4.9,
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implementations: ["OpenAI API", "PyTorch"],
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paper: "https://arxiv.org/abs/2005.14165"
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},
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{
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id: 6,
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name: "U-Net",
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type: "vision",
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description: "Convolutional network for biomedical image segmentation.",
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tags: ["Segmentation", "Medical Imaging", "CNN"],
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stars: 4.5,
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implementations: ["TensorFlow", "PyTorch", "Keras"],
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paper: "https://arxiv.org/abs/1505.04597"
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}
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];
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// Function to create network cards
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function createNetworkCards(filterType = 'all') {
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const grid = document.getElementById('network-grid');
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grid.innerHTML = '';
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const filteredNetworks = filterType === 'all'
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? networks
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: networks.filter(network => network.type === filterType);
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filteredNetworks.forEach(network => {
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const card = document.createElement('div');
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card.className = 'network-card bg-white rounded-xl shadow-md overflow-hidden hover:shadow-xl';
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card.innerHTML = `
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<div class="p-6">
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<div class="flex justify-between items-start mb-2">
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<h3 class="text-xl font-bold text-gray-800">${network.name}</h3>
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<div class="flex items-center text-yellow-500">
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<i class="fas fa-star"></i>
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<span class="ml-1 text-gray-700">${network.stars}</span>
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</div>
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</div>
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<p class="text-gray-600 mb-4">${network.description}</p>
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<div class="flex flex-wrap gap-2 mb-4">
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${network.tags.map(tag => `<span class="tag px-2 py-1 bg-blue-100 text-blue-800 text-xs rounded-full">${tag}</span>`).join('')}
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</div>
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<div class="mb-4">
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<h4 class="text-sm font-semibold text-gray-700 mb-1">Implementations:</h4>
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<div class="flex flex-wrap gap-2">
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${network.implementations.map(impl => `<span class="px-2 py-1 bg-gray-100 text-gray-800 text-xs rounded">${impl}</span>`).join('')}
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</div>
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</div>
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<div class="flex justify-between items-center">
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<a href="${network.paper}" target="_blank" class="text-blue-600 hover:underline text-sm">
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<i class="fas fa-file-alt mr-1"></i> Research Paper
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</a>
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<button class="px-4 py-2 bg-blue-600 text-white rounded-lg hover:bg-blue-700 transition text-sm">
|
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Try This Network
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</button>
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</div>
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</div>
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`;
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grid.appendChild(card);
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});
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}
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// Initialize the page with all networks
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document.addEventListener('DOMContentLoaded', () => {
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createNetworkCards();
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// Filter buttons functionality
|
247 |
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document.querySelectorAll('.type-filter').forEach(button => {
|
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button.addEventListener('click', () => {
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document.querySelectorAll('.type-filter').forEach(btn => btn.classList.remove('active'));
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button.classList.add('active');
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const filterType = button.dataset.type;
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createNetworkCards(filterType);
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});
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});
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// Search functionality
|
257 |
+
document.querySelector('.search-input').addEventListener('input', (e) => {
|
258 |
+
const searchTerm = e.target.value.toLowerCase();
|
259 |
+
const filtered = networks.filter(network =>
|
260 |
+
network.name.toLowerCase().includes(searchTerm) ||
|
261 |
+
network.description.toLowerCase().includes(searchTerm) ||
|
262 |
+
network.tags.some(tag => tag.toLowerCase().includes(searchTerm))
|
263 |
+
);
|
264 |
+
|
265 |
+
const grid = document.getElementById('network-grid');
|
266 |
+
grid.innerHTML = '';
|
267 |
+
|
268 |
+
filtered.forEach(network => {
|
269 |
+
const card = document.createElement('div');
|
270 |
+
card.className = 'network-card bg-white rounded-xl shadow-md overflow-hidden hover:shadow-xl';
|
271 |
+
card.innerHTML = `
|
272 |
+
<div class="p-6">
|
273 |
+
<div class="flex justify-between items-start mb-2">
|
274 |
+
<h3 class="text-xl font-bold text-gray-800">${network.name}</h3>
|
275 |
+
<div class="flex items-center text-yellow-500">
|
276 |
+
<i class="fas fa-star"></i>
|
277 |
+
<span class="ml-1 text-gray-700">${network.stars}</span>
|
278 |
+
</div>
|
279 |
+
</div>
|
280 |
+
<p class="text-gray-600 mb-4">${network.description}</p>
|
281 |
+
<div class="flex flex-wrap gap-2 mb-4">
|
282 |
+
${network.tags.map(tag => `<span class="tag px-2 py-1 bg-blue-100 text-blue-800 text-xs rounded-full">${tag}</span>`).join('')}
|
283 |
+
</div>
|
284 |
+
<div class="mb-4">
|
285 |
+
<h4 class="text-sm font-semibold text-gray-700 mb-1">Implementations:</h4>
|
286 |
+
<div class="flex flex-wrap gap-2">
|
287 |
+
${network.implementations.map(impl => `<span class="px-2 py-1 bg-gray-100 text-gray-800 text-xs rounded">${impl}</span>`).join('')}
|
288 |
+
</div>
|
289 |
+
</div>
|
290 |
+
<div class="flex justify-between items-center">
|
291 |
+
<a href="${network.paper}" target="_blank" class="text-blue-600 hover:underline text-sm">
|
292 |
+
<i class="fas fa-file-alt mr-1"></i> Research Paper
|
293 |
+
</a>
|
294 |
+
<button class="px-4 py-2 bg-blue-600 text-white rounded-lg hover:bg-blue-700 transition text-sm">
|
295 |
+
Try This Network
|
296 |
+
</button>
|
297 |
+
</div>
|
298 |
+
</div>
|
299 |
+
`;
|
300 |
+
grid.appendChild(card);
|
301 |
+
});
|
302 |
+
});
|
303 |
+
|
304 |
+
// Load more button functionality
|
305 |
+
document.getElementById('load-more').addEventListener('click', () => {
|
306 |
+
// In a real app, this would fetch more data from an API
|
307 |
+
alert('Loading more networks... This would fetch additional data in a production environment.');
|
308 |
+
});
|
309 |
+
});
|
310 |
+
</script>
|
311 |
+
<p style="border-radius: 8px; text-align: center; font-size: 12px; color: #fff; margin-top: 16px;position: fixed; left: 8px; bottom: 8px; z-index: 10; background: rgba(0, 0, 0, 0.8); padding: 4px 8px;">Made with <img src="https://enzostvs-deepsite.hf.space/logo.svg" alt="DeepSite Logo" style="width: 16px; height: 16px; vertical-align: middle;display:inline-block;margin-right:3px;filter:brightness(0) invert(1);"><a href="https://enzostvs-deepsite.hf.space" style="color: #fff;text-decoration: underline;" target="_blank" >DeepSite</a> - 🧬 <a href="https://enzostvs-deepsite.hf.space?remix=adminSanderson/test" style="color: #fff;text-decoration: underline;" target="_blank" >Remix</a></p></body>
|
312 |
+
</html>
|