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Top 23 Haskell AI Projects
Deep Learning in HaskellProject mention: Haskell deep learning tutorials [Blog] | reddit.com/r/haskell | 2023-01-23
Grenade is fun, but it does not support CUDA, so it will limit you. I would say that this was a great experiment that has influenced the Hasktorch library in different ways (let me know if I am wrong).
Tensors and neural networks in HaskellProject mention: Trying out Hasktorch but ghc supported versions conflicts on MacOS M1/2 | reddit.com/r/haskell | 2023-03-13
I assume you are getting https://github.com/hasktorch/hasktorch/issues/631? I suspect you need to upgrade to GHC 9.2 to work reliably on M1.
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Haskell binding to OpenCV-3.x
A tiny neural network 🧠 (by saschagrunert)
haskell neural network library
A Haskell framework to define valid deep learning models and export them to other frameworks like TensorFlow JS or Keras.
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 initializatio
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Alleviate your back pain using Haskell and a webcam
Haskell wrappers and utilities for OpenCV machine vision library (by aleator)
A support vector machine implemented in Haskell.
Genetic programming library
Haskell bindings for OpenCV
Framework for artificial life and other evolutionary algorithms.
Haskell module for working with genetic algorithms
Haskell and Scala translations of Truth Maintenance Systems and other tools from Forbus and de Kleer's Building Problem Solvers.
Constraint satisfaction problem (CSP) solvers for Haskell
Neuroevolution of Augmented Topologies (NEAT) -- in Haskell
Simple parallel neural networks implementation in pure Haskell
HaVSA (Have-Saa) is a Haskell implementation of the Version Space Algebra Machine Learning technique described by Tessa Lau.
Functional Combinators for Computer Vision, currently using OpenCV as a backend
Simple parallel genetic algorithm implementation in pure Haskell
A constraint solver for finite domains, written in Haskell.
A fast-forward based planner for 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.
Haskell AI related posts
I made a ChatGPT front-end for LocalAI's self hosted model backend!
2 projects | reddit.com/r/selfhosted | 24 Apr 2023
Trying out Hasktorch but ghc supported versions conflicts on MacOS M1/2
2 projects | reddit.com/r/haskell | 13 Mar 2023
Is Haskell okay for prototyping machine learning models for research (discovery and exploration)
4 projects | reddit.com/r/haskell | 27 Feb 2023
Need help Integrating Hasktorch into my Haskell Jupyter environment using Nix
2 projects | reddit.com/r/NixOS | 26 Feb 2023
Haskell deep learning tutorials [Blog]
4 projects | reddit.com/r/haskell | 23 Jan 2023
2 projects | reddit.com/r/haskell | 19 Dec 2022
looking for simple regression (or classification) library
5 projects | reddit.com/r/haskell | 28 Oct 2022
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What are some of the best open-source AI projects in Haskell? This list will help you: