hnn alternatives and similar packages

Based on the "AI" category.
Alternatively, view hnn alternatives based on common mentions on social networks and blogs.

grenade

9.9 0.0 hnn VS grenade

Deep Learning in Haskell
hasktorch

9.9 4.0 hnn VS hasktorch

Tensors and neural networks in Haskell

Access the most powerful time series database as a service

Ingest, store, & analyze all types of time series data in a fully-managed, purpose-built database. Keep data forever with low-cost storage and superior data compression.

Promo www.influxdata.com

opencv

9.5 0.0 hnn VS opencv

Haskell binding to OpenCV-3.x
nn

9.2 0.0 hnn VS nn

A tiny neural network 🧠
tensor-safe

8.8 0.0 hnn VS tensor-safe

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

8.6 0.0 hnn VS 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.
CV

8.6 0.0 hnn VS CV

Haskell wrappers and utilities for OpenCV machine vision library
keera-posture

8.4 3.6 hnn VS keera-posture

Alleviate your back pain using Haskell and a webcam
HOpenCV

8.2 0.0 hnn VS HOpenCV

Haskell bindings for OpenCV
svm

7.8 0.0 hnn VS svm

A support vector machine implemented in Haskell.
genprog

7.6 0.0 hnn VS genprog

Genetic programming library
hopfield

7.5 0.0 hnn VS hopfield

hopfield
svm-simple

6.9 0.0 hnn VS svm-simple

Simplified interface to bindings-svm
creatur

6.9 0.0 hnn VS creatur

Framework for artificial life and other evolutionary algorithms.
GA

6.9 0.0 hnn VS GA

Haskell module for working with genetic algorithms
simple-genetic-algorithm

6.8 0.0 hnn VS simple-genetic-algorithm

Simple parallel genetic algorithm implementation in pure Haskell
cv-combinators

6.7 0.0 hnn VS cv-combinators

Functional Combinators for Computer Vision, currently using OpenCV as a backend
csp

6.4 0.0 hnn VS csp

Constraint satisfaction problem (CSP) solvers for Haskell
neet

6.4 0.0 hnn VS neet

Neuroevolution of Augmented Topologies (NEAT) -- in Haskell
simple-neural-networks

6.2 0.0 hnn VS simple-neural-networks

Simple parallel neural networks implementation in pure Haskell
HaVSA

6.0 0.0 hnn VS HaVSA

HaVSA (Have-Saa) is a Haskell implementation of the Version Space Algebra Machine Learning technique described by Tessa Lau.
heukarya

5.9 0.0 hnn VS heukarya

genetic programming in haskell
HSGEP

5.4 0.0 hnn VS HSGEP

Haskell Gene Expression Programming Library
huff

5.1 0.0 hnn VS huff

A fast-forward based planner for Haskell
SimpleEA

4.9 0.0 hnn VS SimpleEA

A simple evolutionary algorithm framework for Haskell
smarties

4.5 0.0 hnn VS smarties

haskell behavior tree library
nondeterminism

4.0 2.5 hnn VS nondeterminism

Nondeterministic computations in Haskell
finito

4.0 0.8 hnn VS finito

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

3.7 0.0 hnn VS fei-nn

High level APIs for leaveraging neural networks with MXNet in Haskell
neural-network-base

3.7 0.0 hnn VS neural-network-base

Neural network framework in Haskell
hmep

3.4 0.0 hnn VS hmep

Haskell Multi Expression Programming implemented with the focus on speed
CarneadesDSL

2.9 0.0 hnn VS CarneadesDSL

An implementation and DSL for the Carneades argumentation model.
Etage

2.2 0.0 hnn VS Etage

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

2.1 0.0 hnn VS fei-base

Yet another wrapper of mxnet in Haskell
simple-genetic-algorithm-mr

1.9 0.0 hnn VS simple-genetic-algorithm-mr

Fork of simple-genetic-algorithm using MonadRandom
liblinear-enumerator

1.9 0.0 L1 hnn VS liblinear-enumerator

Haskell bindings to liblinear
mxnet-nn

1.8 hnn VS mxnet-nn

Train a neural network with MXNet in Haskell.
fei-dataiter

1.6 0.0 hnn VS fei-dataiter

Data Loading API of mxnet in Haskell
fei-examples

1.6 0.0 hnn VS fei-examples

fei examples
fei-cocoapi

1.3 0.0 hnn VS fei-cocoapi

Cocodataset with cocoapi
attoparsec-arff

0.8 0.0 hnn VS attoparsec-arff

An attoparsec-based parser for ARFF files in Haskell
sandlib

- - hnn VS sandlib

SAND data serialization and manipulation library
mxnet-dataiter

- hnn VS mxnet-dataiter

mxnet dataiters

* Code Quality Rankings and insights are calculated and provided by Lumnify.
They vary from L1 to L5 with "L5" being the highest.

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README

hnn

haskell neural network library

You can find the haddocks on hackage. See the examples/ directory to see how to use the library or the AI.HNN.FF.Network module for a tutorial.

Also, feel free to join #haskell-math on irc.freenode.net if you have any question, or if you just want to chat about the library, some potential use you want to make of it, etc.

This library is written and maintained by Alp Mestanogullari [email protected] and Gatlin Johnson [email protected].