gomlx and onnx-gomlx
ONNX / GoMLX Conversion is a complementary tool that enables interoperability between ONNX format models and GoMLX's native framework, allowing users to import pre-trained models from other ML ecosystems into GoMLX.
About gomlx
gomlx/gomlx
GoMLX: An Accelerated Machine Learning Framework For Go
This is an accelerated machine learning framework for Go developers. It allows Go programmers to train, fine-tune, modify, and combine machine learning models, similar to how Python users work with PyTorch or TensorFlow. Developers can input Go code and data, and output trained models, leveraging optimized backends for speed. This tool is for Go developers who need to build and deploy ML models directly within their Go applications.
About onnx-gomlx
gomlx/onnx-gomlx
ONNX / GoMLX Conversion
This tool helps Go developers integrate and manage machine learning models within their applications. It takes ONNX (`.onnx`) model files as input and converts them for use with the GoMLX framework, enabling tasks like inference and fine-tuning. The output can be either GoMLX checkpoints or updated ONNX models with new weights. This is for Go developers who want to leverage machine learning models without relying on Python or the ONNX Runtime for deployment.
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