Deep neural network optimizer to make them faster, smaller, and energy-efficient from cloud to edge computing.
Neutrino is a deep learning library for optimizing and accelerating deep neural networks to make them faster, smaller and more energy-efficient. Neural network designers can specify a variety of pre-trained models, datasets and target computation constraints and ask the engine to optimize the network. High-level APIs are provided to make the optimization process easy and transparent to the user. Neutrino can be biased to concentrate on compression (relative to disk size taken by the model) or latency (forward call’s execution time) optimization.
Our community edition provides all the important features to experience the power and usability of model optimization with Neutrino. With the community version, engineers and researchers can verify the seamless integration of Neutrino into standard AI processes, test compatibility with existing model development and explore the benefits of optimization to various products. Feel free to use it as you please! The aim of the community edition is multifold, with examples such as:
Deeplite NeutrinoDeeplite Neutrino with other open-source and industry model architecture optimization frameworksDeeplite Neutrino within industry and production pipelinesDeeplite Neutrino to accelerate academic research, expedite results and share your achievements in research papersDeeplite Neutrino and enjoy the advantages of model architecture optimization in various use-casesFor detailed comparison of features on our community and production editions, refer to the documentation
The community license key is completely free-to-obtain and free-to-use. Fill out this simple form to obtain the license key for the Community Version of Deeplite Neutrino™.
Use pip to install neutrino-engine from PyPi repository. We recommend creating a new python virtualenv, then pip install using the following commands.
pip install --upgrade pip
pip install neutrino-engine
pip install neutrino-torch
For other methods of installation and detailed instructions, refer to the documentation
FAQs
Deep neural network optimizer to make them faster, smaller, and energy-efficient from cloud to edge computing.
We found that neutrino-engine demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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