Nnplus

nnplus: Open-Source Neural Network Framework

Build, train, visualize, and deploy neural networks with nnplus, an open-source framework for rapid prototyping and scalable production use cases.

What is Nnplus?

nnplus is an open-source neural network framework for building and training neural networks. It provides a flexible and modular API that allows developers to easily construct neural net architectures for tasks like image classification, object detection, speech recognition, and more.

Some key features of nnplus include:

• Support for feedforward neural networks, convolutional neural networks, recurrent neural networks, and more
• Modular design that allows components like layers, activations, regularizers, optimizers, and loss functions to be mixed and matched
• Automatic differentiation for faster development and reduced error
• Tools for debugging, visualizing, monitoring, and exporting neural net models
• Scalable distributed training across GPUs and servers
• Pre-trained models for common vision and language tasks
• Easy model exporting to production environments

nnplus enables rapid prototyping and experimentation with deep learning without sacrificing performance or control. Its wide adoption makes it easy to find examples, tutorials, and support when building neural network apps.

Nnplus Features

Official Links