fei-cocoapi VS finito

Compare fei-cocoapi vs finito and see what are their differences.

fei-cocoapi

By pierric
AI Fei
Source Code
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finito

A constraint solver for finite domains, written in Haskell. (by typedbyte)
AI Haskell Constraint Solver
Source Code
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fei-cocoapi finito
- -
0 10
- -
0.0 1.8
about 3 years ago over 2 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.
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-cocoapi

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

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

finito

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

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

What are some alternatives?

When comparing fei-cocoapi and finito you can also consider the following projects:

fei-base - Yet another wrapper of mxnet in Haskell

nn - A tiny neural network 🧠

creatur - Framework for artificial life and other evolutionary algorithms.

hasktorch - Tensors and neural networks in Haskell

fei-examples

keera-posture - Alleviate your back pain using Haskell and a webcam

fei-nn - High level APIs for leaveraging neural networks with 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.

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

HSGEP - Haskell Gene Expression Programming Library

hopfield - hopfield

fei-cocoapi vs fei-base finito vs nn fei-cocoapi vs creatur finito vs hasktorch fei-cocoapi vs fei-examples finito vs keera-posture fei-cocoapi vs fei-nn finito vs moo fei-cocoapi vs tensor-safe finito vs tensor-safe fei-cocoapi vs HSGEP finito vs hopfield