awesome-fable VS Synapses

Compare awesome-fable vs Synapses and see what are their differences.

awesome-fable

A curated list of useful Fable tutorials, libraries and software. Inspired by awesome list. Feel free to contribute. (by kunjee17)
Fsharp Fable fable-plugin JavaScript bable Webpack2 Functional programming awesome-list

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Synapses

A group of neural-network libraries for functional and mainstream languages (by mrdimosthenis)
Artificial intelligence neural-network Machine Learning Functional programming JavaScript Python Java C# Scala Fsharp Lightweight Deep Learning Clojure gleam Elixir
Source Code
mrdimosthenis.github.io
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awesome-fable Synapses
1 1
403 68
- -
3.5 0.0
over 2 years ago over 2 years ago
Elixir
- MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

awesome-fable

Posts with mentions or reviews of awesome-fable. We have used some of these posts to build our list of alternatives and similar projects.
  • What the F#!
    1 project | /r/programming | 1 Feb 2021
    kunjee17/awesome-fable: A curated list of useful Fable tutorials, libraries and software. Inspired by awesome list. Feel free to contribute. (github.com)

Synapses

Posts with mentions or reviews of Synapses. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-09-01.

What are some alternatives?

When comparing awesome-fable and Synapses you can also consider the following projects:

awesome-fable-react-native - An awesome list about to use Fable with ReactNative 🧚‍♀️

m2cgen - Transform ML models into a native code (Java, C, Python, Go, JavaScript, Visual Basic, C#, R, PowerShell, PHP, Dart, Haskell, Ruby, F#, Rust) with zero dependencies

awesome-interview-questions - :octocat: A curated awesome list of lists of interview questions. Feel free to contribute! :mortar_board:

ML.NET - ML.NET is an open source and cross-platform machine learning framework for .NET.

Brain.js - Simple feed-forward neural network in JavaScript

Keras.js - Run Keras models in the browser, with GPU support using WebGL

Breeze - Breeze is a numerical processing library for Scala.

Dannjs - Easy to use Deep Neural Network Library for JavaScript.

neurojs - A JavaScript deep learning and reinforcement learning library.

Synaptic.js - architecture-free neural network library for node.js and the browser

ml.js - Machine learning tools in JavaScript

WebDNN - The Fastest DNN Running Framework on Web Browser

awesome-fable vs awesome-fable-react-native Synapses vs m2cgen awesome-fable vs awesome-interview-questions Synapses vs ML.NET Synapses vs Brain.js Synapses vs Keras.js Synapses vs Breeze Synapses vs Dannjs Synapses vs neurojs Synapses vs Synaptic.js Synapses vs ml.js Synapses vs WebDNN