What is Carton?
It is a library that lets you run any machine learning (ML) model from any programming language. It wraps existing models and provides a uniform interface for your application to use regardless of the framework the underlying model was implemented in.
Carton is a tool in the Development & Training Tools category of a tech stack.
Key Features
One open-source API for all frameworksDoes not modify the original model, avoiding error-prone conversion steps
Carton Pros & Cons
Pros of Carton
No pros listed yet.
Cons of Carton
No cons listed yet.
Carton Alternatives & Comparisons
What are some alternatives to Carton?
TensorFlow
TensorFlow is an open source software library for numerical computation using data flow graphs. Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API.
PyTorch
PyTorch is not a Python binding into a monolothic C++ framework. It is built to be deeply integrated into Python. You can use it naturally like you would use numpy / scipy / scikit-learn etc.
scikit-learn
scikit-learn is a Python module for machine learning built on top of SciPy and distributed under the 3-Clause BSD license.
