fei-base VS nn

Compare fei-base vs nn and see what are their differences.

fei-base

Yet another wrapper of mxnet in Haskell (by pierric)
AI Fei
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nn

A tiny neural network 🧠 (by saschagrunert)
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fei-base nn
- -
3 122
- -
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.

fei-base

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

We haven't tracked posts mentioning fei-base 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 fei-base and nn you can also consider the following projects:

fei-nn - High level APIs for leaveraging neural networks with MXNet in Haskell

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.

fei-cocoapi

grenade - Deep Learning in Haskell

fei-dataiter - Data Loading API of mxnet in Haskell

svm - A support vector machine implemented in Haskell.

Etage - A general data-flow framework featuring nondeterminism, laziness and neurological pseudo-terminology.

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

tensor-safe - A Haskell framework to define valid deep learning models and export them to other frameworks like TensorFlow JS or Keras.

huff - A fast-forward based planner for Haskell

fei-base vs fei-nn nn vs fei-examples fei-base vs fei-examples nn vs moo fei-base vs fei-cocoapi nn vs grenade fei-base vs fei-dataiter nn vs svm fei-base vs Etage nn vs finito fei-base vs tensor-safe nn vs huff