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Pros of Kubeflow
- System designer9
- Google backed3
- Customisation3
- Kfp dsl3
- Azure0
Pros of Polyaxon
- Cli2
- API2
- Streamlit integration2
- Python Client2
- Notebook integration2
- Tensorboard integration2
- VSCode integration2
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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.
What is Kubeflow?
The Kubeflow project is dedicated to making Machine Learning on Kubernetes easy, portable and scalable by providing a straightforward way for spinning up best of breed OSS solutions.
What is Polyaxon?
An enterprise-grade open source platform for building, training, and monitoring large scale deep learning applications.
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What are some alternatives to GraphPipe, Kubeflow, and Polyaxon?
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.
Keras
Deep Learning library for Python. Convnets, recurrent neural networks, and more. Runs on TensorFlow or Theano. https://keras.io/
CUDA
A parallel computing platform and application programming interface model,it enables developers to speed up compute-intensive applications by harnessing the power of GPUs for the parallelizable part of the computation.