MGL

MGL

MGL is a sophisticated deep learning software designed as a Common Lisp machine learning library. It enables developers to implement and experiment with advanced algorithms while benefiting from the expressive power of Lisp. Contributions to its development are welcome on GitHub, fostering a collaborative environment for innovation and enhancement.

Top MGL Alternatives

1

Hopfield Networks

Hopfield Networks serve as a fundamental neural network model, emulating memory processes.

2

BackpropNeuralNet.jl

BackpropNeuralNet.jl is a robust deep learning software developed in Julia, featuring a customizable neural network architecture.

3

MLPNeuralNet

MLPNeuralNet is a high-performance multilayer perceptron neural network library optimized for iOS and Mac OS X.

4

deeplearn-rs

Deeplearn-rs is an innovative deep learning software crafted in Rust, showcasing a proof of concept for neural network applications.

5

Multi-Perceptron-NeuralNetwork

The Multi-Layer Perceptron Neural Network (MLP) utilizes deep learning techniques to implement advanced training tasks through unlimited hidden layers.

6

RustNN

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7

node-fann

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8

LambdaNet

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9

NeuralN

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10

HNN

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11

GoNN

It emphasizes user feedback, ensuring continuous improvement and adaptation based on input, enhancing its functionality...

12

NanoNets

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13

BPN-NeuralNetwork

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14

MEGA

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15

VIGRA

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