nn VS tensor-safe

Compare nn vs tensor-safe and see what are their differences.

nn

A tiny neural network 🧠 (by saschagrunert)
AI

tensor-safe

A Haskell framework to define valid deep learning models and export them to other frameworks like TensorFlow JS or Keras. (by leopiney)
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nn tensor-safe
- -
122 101
- -
0.0 0.0
almost 6 years ago over 1 year ago
Haskell Haskell
MIT License BSD 3-clause "New" or "Revised" 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.

nn

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

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

tensor-safe

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

We haven't tracked posts mentioning tensor-safe yet.
Tracking mentions began in Dec 2020.

What are some alternatives?

When comparing nn and tensor-safe you can also consider the following projects:

fei-examples

moo - Genetic algorithm library for Haskell. Binary and continuous (real-coded) GAs. Binary GAs: binary and Gray encoding; point mutation; one-point, two-point, and uniform crossover. Continuous GAs: Gaussian mutation; BLX-α, UNDX, and SBX crossover. Selection operators: roulette, tournament, and stochastic universal sampling (SUS); with optional niching, ranking, and scaling. Replacement strategies: generational with elitism and steady state. Constrained optimization: random constrained initialization, death penalty, constrained selection without a penalty function. Multi-objective optimization: NSGA-II and constrained NSGA-II.

HSGEP - Haskell Gene Expression Programming Library

grenade - Deep Learning in Haskell

hasktorch - Tensors and neural networks in Haskell

svm - A support vector machine implemented in Haskell.

cv-combinators - Functional Combinators for Computer Vision, currently using OpenCV as a backend

fei-base - Yet another wrapper of mxnet in Haskell

GA - Haskell module for working with genetic algorithms

finito - A constraint solver for finite domains, written in Haskell.

opencv - Haskell binding to OpenCV-3.x