#Gorgonia

Gorgonia provides a suite of tools for developing and testing machine learning models using graph computations in Go language. It competes in speed with TensorFlow and Theano while supporting CUDA for GPU computations, and aims to support distributed systems. The library is suited for developers familiar with Go who want to build effective ML systems, offering features like automatic differentiation, symbolic differentiation, and gradient descent optimization. Gorgonia fosters experimentation with alternative deep learning approaches and is supported by a committed community to assist developers.

The onnx-go project offers tools for Go developers to easily integrate ONNX models, enabling neural network capabilities without requiring advanced data-science skills. The library converts ONNX binary models into a format compatible with Go's ecosystem for effortless integration. Actively maintained by Orama, the project plans to expand support for ONNX operators, improving compatibility with models from the ONNX model zoo. It is suitable for developers looking for simple machine learning integration within Go applications.