Knet

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

19 Alternatives To Knet

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BrainCore

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

Chainer

Chainer is a flexible and intuitive framework for Neural Networks.

ConvNetJS

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

Darknet

Darknet is an open source neural network framework written in C and CUDA.

Deep Learning Personas

Chat with distinct deep learning personalities

DeepDetect

DeepDetect is a deep learning API and server that is written in C++11 to makes deep learning easy to work with and integrate into existing applications.

DeepPy

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.
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Deeplearning4j

Deeplearning4j is an open-source, distributed deep-learning library written for Java and Scala.

Floyd

Heroku for deep learning
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Keras

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

MLKit

MLKit is a simple machine learning framework written in Swift.
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Merlin

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

DIGITS (the Deep Learning GPU Training System) is a webapp for training deep learning models.

OpenCV

OpenCV (Open Source Computer Vision) is a library of programming functions for real time computer…
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SHARK

See sharks everywhere with this AR app 🦈

Swift AI

Artificial intelligence and machine learning library written in Swift.
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TFlearn

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

Training Mule allows you or your team to easily label images, providing you with the datasets that…
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mlpack

mlpack is a scalable machine learning library, written in C++.