ML Model Converter

About This Tool

The ML Model Converter is a specialized tool for machine learning engineers and developers to convert ML models between different formats and optimize them for various deployment platforms. It supports popular frameworks like TensorFlow, PyTorch, ONNX, and more, making it easier to deploy models across different environments and hardware. The tool also provides optimization options to improve model performance and reduce size.

Features

• Convert ML models between different formats (TensorFlow, PyTorch, ONNX, etc.)
• Optimize models for different deployment platforms (web, mobile, edge devices)
• Quantize models to reduce size and improve inference speed
• Prune unnecessary weights and operations
• Visualize model architecture before and after conversion
• Benchmark converted models for performance comparison
• Batch processing for multiple model conversions
• Support for custom layers and operations