neuronnet-explorer / index.html
Lordoflingus's picture
import mmap
e10e84c verified
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<h1 class="text-xl font-bold text-white">NeuronNet Explorer</h1>
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<h1 class="text-4xl md:text-6xl font-bold mb-6">
Explore Neural Networks
<span class="text-secondary-400">with Precision</span>
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<p class="text-xl text-gray-300 mb-8 max-w-3xl mx-auto">
Visualize, analyze, and understand your AI models with our advanced neural network explorer.
Dive deep into model architectures and weights with unprecedented clarity.
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Load Model
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<h2 class="text-3xl md:text-4xl font-bold mb-4">Advanced Model Analysis</h2>
<p class="text-gray-400 text-lg">Powerful tools for understanding your AI models</p>
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<h3 class="text-xl font-semibold mb-3">Layer Visualization</h3>
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Visualize every layer of your neural network with interactive 3D representations
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<h3 class="text-xl font-semibold mb-3">Real-time Analytics</h3>
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Monitor model performance in real-time with detailed metrics,
activation patterns, and gradient flow visualization.
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<h3 class="text-xl font-semibold mb-3">Code Integration</h3>
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Seamlessly integrate with your Python workflow. Load models directly from
Hugging Face, PyTorch, or TensorFlow.
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<h2 class="text-3xl md:text-4xl font-bold mb-6">Load & Analyze Any Model</h2>
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Our platform supports multiple model formats including SafeTensors,
PyTorch checkpoints, and Hugging Face models. Get detailed insights
into model architecture and weights.
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<span class="text-gray-300">Support for SafeTensors format</span>
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<span class="text-gray-300">Hugging Face integration</span>
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<span class="text-gray-300">PyTorch & TensorFlow support</span>
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Try Demo Model
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<pre class="text-sm text-gray-300 overflow-x-auto">
<span class="text-green-400">import</span> mmap
<span class="text-green-400">import</span> torch
<span class="text-green-400">from</span> huggingface_hub <span class="text-green-400">import</span> hf_hub_download
<span class="text-blue-400">def</span> <span class="text-yellow-400">load_model</span>():
filename = hf_hub_download(<span class="text-orange-400">"gpt2"</span>,
filename=<span class="text-orange-400">"model.safetensors"</span>)
weights = load_file(filename, <span class="text-orange-400">"cpu"</span>)
<span class="text-green-400">return</span> weights
<span class="text-gray-600"># Model loaded successfully</span>
<span class="text-gray-600"># Analyzing 124M parameters...</span></pre>
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<div class="text-3xl md:text-4xl font-bold text-primary-400 mb-2">124M+</div>
<div class="text-gray-400">Parameters Analyzed</div>
</div>
<div class="p-6">
<div class="text-3xl md:text-4xl font-bold text-secondary-400 mb-2">50K+</div>
<div class="text-gray-400">Models Processed</div>
</div>
<div class="p-6">
<div class="text-3xl md:text-4xl font-bold text-primary-400 mb-2">99.9%</div>
<div class="text-gray-400">Uptime</div>
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<div class="text-3xl md:text-4xl font-bold text-secondary-400 mb-2">24/7</div>
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<h2 class="text-3xl md:text-4xl font-bold mb-6">Ready to Explore Your Models?</h2>
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Start analyzing your neural networks with our powerful visualization tools.
No setup required - just upload and explore.
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