numl VS Synapses

Compare numl vs Synapses and see what are their differences.

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numl Synapses
- 1
429 68
- -
0.0 0.0
over 5 years ago over 2 years ago
C# Elixir
MIT License 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.

numl

Posts with mentions or reviews of numl. We have used some of these posts to build our list of alternatives and similar projects.

We haven't tracked posts mentioning numl yet.
Tracking mentions began in Dec 2020.

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 numl and Synapses you can also consider the following projects:

Accord.NET

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

F# Data - F# Data: Library for Data Access

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

Accord.NET Extensions

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

Catalyst - 🚀 Catalyst is a C# Natural Language Processing library built for speed. Inspired by spaCy's design, it brings pre-trained models, out-of-the box support for training word and document embeddings, and flexible entity recognition models.

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

encog-dotnet-core

Breeze - Breeze is a numerical processing library for Scala.

AForge.NET - AForge.NET Framework is a C# framework designed for developers and researchers in the fields of Computer Vision and Artificial Intelligence - image processing, neural networks, genetic algorithms, machine learning, robotics, etc.

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