What is Clipper?
It is a low-latency prediction serving system for machine learning. Clipper makes it simple to integrate machine learning into user-facing serving systems.
Clipper is a tool in the Development & Training Tools category of a tech stack.
Key Features
Simplifies integration of machine learning techniquesSimplifies model deployment and helps reduce common bugsImproves throughput and ensures reliable millisecond latenciesImproves prediction accuracy
Clipper Pros & Cons
Pros of Clipper
No pros listed yet.
Cons of Clipper
No cons listed yet.
Clipper Alternatives & Comparisons
What are some alternatives to Clipper?
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.
