fei-nn VS CarneadesDSL

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

fei-nn

High level APIs for leaveraging neural networks with MXNet in Haskell (by pierric)
AI Fei
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CarneadesDSL

An implementation and DSL for the Carneades argumentation model. (by nebasuke)
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fei-nn CarneadesDSL
- -
9 2
- -
0.0 0.0
almost 2 years ago over 9 years ago
Haskell Haskell
BSD 3-clause "New" or "Revised" 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.
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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-nn

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

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

CarneadesDSL

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

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

What are some alternatives?

When comparing fei-nn and CarneadesDSL you can also consider the following projects:

fei-base - Yet another wrapper of mxnet in Haskell

hnn - haskell neural network library

fei-dataiter - Data Loading API of mxnet in Haskell

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

GA - Haskell module for working with genetic algorithms

fei-cocoapi

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

smarties - haskell behavior tree library

genprog - Genetic programming library

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

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

fei-nn vs fei-base CarneadesDSL vs hnn fei-nn vs fei-dataiter CarneadesDSL vs moo fei-nn vs fei-examples CarneadesDSL vs GA fei-nn vs fei-cocoapi CarneadesDSL vs tensor-safe fei-nn vs smarties CarneadesDSL vs genprog fei-nn vs Etage CarneadesDSL vs cv-combinators