What is GraphPipe?
GraphPipe is a protocol and collection of software designed to simplify machine learning model deployment and decouple it from framework-specific model implementations.
GraphPipe is a tool in the Machine Learning Tools category of a tech stack.
GraphPipe is an open source tool with 720 GitHub stars and 104 GitHub forks. Here’s a link to GraphPipe's open source repository on GitHub
Who uses GraphPipe?
GraphPipe Integrations
TensorFlow, PyTorch, Torch, Caffe2, and Numba are some of the popular tools that integrate with GraphPipe. Here's a list of all 6 tools that integrate with GraphPipe.
GraphPipe's Features
- A minimalist machine learning transport specification based on flatbuffers
- Simple, efficient reference model servers for Tensorflow, Caffe2, and ONNX.
- Efficient client implementations in Go, Python, and Java.
GraphPipe Alternatives & Comparisons
What are some alternatives to GraphPipe?
JavaScript
JavaScript is most known as the scripting language for Web pages, but used in many non-browser environments as well such as node.js or Apache CouchDB. It is a prototype-based, multi-paradigm scripting language that is dynamic,and supports object-oriented, imperative, and functional programming styles.
Git
Git is a free and open source distributed version control system designed to handle everything from small to very large projects with speed and efficiency.
GitHub
GitHub is the best place to share code with friends, co-workers, classmates, and complete strangers. Over three million people use GitHub to build amazing things together.
Python
Python is a general purpose programming language created by Guido Van Rossum. Python is most praised for its elegant syntax and readable code, if you are just beginning your programming career python suits you best.
jQuery
jQuery is a cross-platform JavaScript library designed to simplify the client-side scripting of HTML.
