NeuraxleWhat is Neuraxle?
It is a Machine Learning (ML) library for building machine learning pipelines. Compatible with deep learning frameworks and the scikit-learn API, it can stream minibatches, use data checkpoints, build funky pipelines, and serialize models with custom per-step savers.
Neuraxle is a tool in the Development & Training Tools category of a tech stack.
Key Features
Component-basedUse your favorite machine learning libraries inside and outside Neuraxle pipelinesPipeline steps can manage how they are saved by themselves, and the lifecycle of the objects allow for train, and test modesTransform data in many pipeline steps at the same time in parallel using multiprocessing Queues
Neuraxle Pros & Cons
Pros of Neuraxle
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Cons of Neuraxle
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Neuraxle Alternatives & Comparisons
What are some alternatives to Neuraxle?
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.
