tensor-safe VS nn

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

tensor-safe

A Haskell framework to define valid deep learning models and export them to other frameworks like TensorFlow JS or Keras. (by leopiney)

nn

A tiny neural network 🧠 (by saschagrunert)
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tensor-safe nn
- -
101 122
- -
0.0 0.0
over 1 year ago almost 6 years ago
Haskell Haskell
BSD 3-clause "New" or "Revised" 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.

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.

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.

What are some alternatives?

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

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.

fei-examples

HSGEP - Haskell Gene Expression Programming Library

hasktorch - Tensors and neural networks in Haskell

grenade - Deep Learning in Haskell

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

svm - A support vector machine implemented in Haskell.

GA - Haskell module for working with genetic algorithms

fei-base - Yet another wrapper of mxnet in Haskell

opencv - Haskell binding to OpenCV-3.x

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