Cog
Development & TrainingWhat is Cog?
It is an open-source tool that lets you package machine learning models in a standard, production-ready container. You can deploy your packaged model to your own infrastructure.
Cog is a tool in the Development & Training category of a tech stack.
Key Features
Docker containers without the painNo more CUDA hellDefine the inputs and outputs for your model with standard PythonAutomatic HTTP prediction serverAutomatic queue workerCloud storageReady for production
Cog Pros & Cons
Pros of Cog
No pros listed yet.
Cons of Cog
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Cog Alternatives & Comparisons
What are some alternatives to Cog?
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.
NumPy
Besides its obvious scientific uses, NumPy can also be used as an efficient multi-dimensional container of generic data. Arbitrary data-types can be defined. This allows NumPy to seamlessly and speedily integrate with a wide variety of databases.
Jupyter
The Jupyter Notebook is a web-based interactive computing platform. The notebook combines live code, equations, narrative text, visualizations, interactive dashboards and other media.
