Synapses alternatives and similar libraries
Based on the "Machine Learning" category.
Alternatively, view Synapses alternatives based on common mentions on social networks and blogs.
natural7.8 4.7 L5 Synapses VS naturalgeneral natural language facilities for node
deeplearn.js7.8 0.0 Synapses VS deeplearn.jsA hardware-accelerated machine intelligence library for the web.
Synaptic.js7.1 0.0 L2 Synapses VS Synaptic.jsarchitecture-free neural network library for node.js and the browser
Keras.js6.3 0.0 Synapses VS Keras.jsRun Keras models in the browser, with GPU support using WebGL
WebDNN4.3 0.0 Synapses VS WebDNNThe Fastest DNN Running Framework on Web Browser
Limdu.js3.4 1.6 L4 Synapses VS Limdu.jsMachine-learning for Node.js
DN2A2.5 0.0 L5 Synapses VS DN2ADN2A - Dynamic Neural Networks Architecture
ml5.jsFriendly Machine Learning for the Web.
Appwrite - The Open Source Firebase alternative introduces iOS support
* Code Quality Rankings and insights are calculated and provided by Lumnify.
They vary from L1 to L5 with "L5" being the highest.
Do you think we are missing an alternative of Synapses or a related project?
A lightweight library for neural networks that runs anywhere!
- Add one dependency to your project.
- Write a single import statement.
- Use a few pure functions.
You are all set!
It runs anywhere
It's compatible across languages
- The interface is common across languages.
It offers visualizations
Get an overview of a neural network by taking a brief look at its svg drawing.
You can specify the activation function and the weight distribution for the neurons of each layer. If this is not enough, edit the json instance of a network to be exactly what you have in mind.
The implementation is based on lazy list. The information flows smoothly. Everything is obtained at a single pass.
Data preprocessing is simple
By annotating the discrete and continuous attributes, you can create a preprocessor that encodes and decodes the datapoints.
Works for huge datasets
The functions that process big volumes of data, have an Iterable/Stream as argument. RAM should not get full!
It's well tested
Every function is tested for every language. Please take a look at the test projects.