node-fann Alternatives & Competitors

Keras is a minimalist, modular neural networks library, written in Python and capable of running on top of either TensorFlow or Theano.

Key Keras features:

User-Friendly Modularity Pre-trained Models Integration with TensorFlow

Open Source

TFlearn is a modular and transparent deep learning library built on top of Tensorflow.

Key TFlearn features:

User-Friendly Interface Modular Design Integration with TensorFlow Pre-built Models

Open Source

Automated 60-second forensic business auditing pipeline powered by OpenAI Nano AI. Built for consultants and analysts.

Key BusinessXray features:

Business Intelligence Focus Data-Driven Insights Comprehensive Business Overview Online Accessibility

Visit website paid £99.0 / Monthly (unlimted use for 1 month no subsrciption )

The World's AI.

Key Clarifai features:

API Artificial Intelligence Workflow Management Workflow Automation

freemium

DeepPy is a MIT licensed deep learning framework that tries to add a touch of zen to deep learning as it allows for Pythonic programming.

Key DeepPy features:

Ease of Use Python Integration Lightweight

Machine Learning.

Key Microsoft Cognitive Toolkit (Formerly CNTK) features:

Efficiency Scalability Flexibility Seamless Integration

Merlin is a deep learning framework written in Julia, it aims to provide a fast, flexible and compact deep learning library for machine learning.

Key Merlin features:

Julia Language Integration Composable Machine Learning Models Interoperability Community Support

Knet is a deep learning framework that supports GPU operation and automatic differentiation using dynamic computational graphs for models.

Key Knet features:

Efficiency Flexibility Julia Integration Community and Support

Swift Brain is a neural network / machine learning library written in Swift for AI algorithms.

Key Swift Brain features:

Ease of Use Integration with Swift Lightweight Open Source

Artificial intelligence and machine learning library written in Swift.

Key Swift AI features:

Native Swift Integration Open Source Performance Optimizations Community Support

MLKit is a simple machine learning framework written in Swift.

Key MLKit features:

Feature-Rich Ease of Integration Regular Updates Open-Source

Open Source

BrainCore is a simple but fast neural network framework written in Swift.

Open Source

Chainer is a flexible and intuitive framework for Neural Networks.

Open Source

ConvNetJS is a Javascript library for training Deep Learning models (Neural Networks) entirely in a browser.

Key ConvNetJS features:

Ease of Use Interactive Demos Visualization No Dependencies

Open Source