What is Cortex.dev?
It is an open source platform that takes machine learning models—trained with nearly any framework—and turns them into production web APIs in one command.
Cortex.dev is a tool in the AI Infrastructure category of a tech stack.
Key Features
AutoscalingSupports TensorFlow, Keras, PyTorch, Scikit-learn, XGBoost, and moreCPU / GPU supportRolling updatesLog streamingPrediction monitoringMinimal declarative configuration
Cortex.dev Pros & Cons
Pros of Cortex.dev
No pros listed yet.
Cons of Cortex.dev
No cons listed yet.
Cortex.dev Alternatives & Comparisons
What are some alternatives to Cortex.dev?
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.
