AI · alternatives · 2026
24 alternatives to LambdaNet – A functional neural network library written in Haskell
Purely functional artificial neural network library implemented in Haskell. - jbarrow/LambdaNet
LambdaNet is a neural network library written in Haskell that uses purely functional programming principles. It is designed for developers who want to build artificial neural networks within a functional programming… Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes. LambdaNet – A functional neural network library written in Haskell launched in 2014; newer entries below may have overtaken it.
- 1PW
Functional programming language based on pure de Bruijn indexed lambda calculus.
2023 · bruijn.marvinborner.de · its alternatives →
- 2
Python library for creating data pipelines with chain functional programming - EntilZha/PyFunctional
2017 · github.com · its alternatives →
- 3
Neural network inference the Unix way. Contribute to cloudkj/layer development by creating an account on GitHub.
2019 · github.com · its alternatives →
- 4
A DSL for deep neural networks, supporting Caffe and Torch - ajtulloch/dnngraph
2015 · github.com · its alternatives →
- 5
A graph-based functional API for building complex scikit-learn pipelines. - alegonz/baikal
2020 · github.com · its alternatives →
- 6
The simplest form of an artificial neural network explained and demonstrated. - GitHub - gokadin/ai-simplest-network: The simplest form of an artificial neural network explained and demonstrated.
2020 · github.com · its alternatives →
- 7
I trained a transformer in HyperCard. 1,216 parameters. 1989 Macintosh. And yes, it took a while. MacMind is a complete transformer neural network, embeddings, positional encoding, self-attention, backpropagation, and gradient descent, implemented entirely in HyperTalk, the scripting language Apple shipped with HyperCard in 1987. Every line of code is readable inside HyperCard's script editor. Option-click any button and read the actual math. The task: learn the bit-reversal permutation, the opening step of the Fast Fourier Transform. The model has no formula to follow. It discovers the…
Apr 2026 · github.com · its alternatives →
- 8
Clean implementation of feed forward neural networks - danijar/layered
2015 · github.com · its alternatives →
- 9
Get the skills to land a job in the tech industry in BloomTech’s online programs. Learn about our Tuition Refund Guarantee!
2016 · lambdaschool.com · its alternatives →
- 10AV
Discussions: Hacker News (63 points, 8 comments), Reddit r/programming (312 points, 37 comments) Translations: Arabic, French, Spanish Update: Part 2 is now live: A Visual And Interactive Look at Basic Neural Network Math Motivation I’m not a machine learning expert. I’m a software engineer by train
2016 · jalammar.github.io · its alternatives →
- 11
Sonnet▲134A new library for constructing neural networks from DeepMind
2017 · deepmind.google · its alternatives →
- 12
A single / multi layer / recurrent neural network written in Golang. - made2591/go-perceptron-go
2017 · github.com · its alternatives →
- 13
Hey! This is something i have been working on. A tiny neural networking lib to learn how something like pytorch works, and to improve my own coding standards.
2025 · github.com · its alternatives →
- 14LA
What if Brainfuck was less like C and more like Scheme? The interpreter implemetation is pretty bad. It's not very fast, it's not very good, and it's probably not very correct. But maybe there's some vaguely interesting programs you could write with it! For example, the Y combinator: λf. (λx. f (x x)) (λx. f (x x)) is written as: \` \`1 `0 0 \`1 `0 0
2025 · imjakingit.github.io · its alternatives →
- 15
Neural networks in JavaScript. Well-documented and object-oriented. - delight-im/JS-NeuralNetwork
2016 · github.com · its alternatives →
- 16N5
2020 · nn-512.com · its alternatives →
- 17
A neural network library built in JavaScript. Contribute to stevenmiller888/mind development by creating an account on GitHub.
2015 · github.com · its alternatives →
- 18
Haskell for FPGA Hardware Design: Use abstractions like monads and lenses to implement 1970
2021 · unsafeperform.io · its alternatives →
- 19
Arabic root finder with neural nets! Contribute to tb0yd/rootfinder development by creating an account on GitHub.
2018 · github.com · its alternatives →
- 20
A perceptron written in COBOL. Contribute to victorqribeiro/perceptronCobol development by creating an account on GitHub.
2020 · github.com · its alternatives →
- 21
Hey HN! We're excited to share our new open-source project, Marvin. Marvin is a high-level library for building AI-powered software. We developed it to address the challenges of integrating LLMs into more traditional applications. One of the biggest issues is the fact that LLMs only deal with strings (and conversational strings at that), so using them to process structured data is especially difficult. Marvin introduces a new concept called AI Functions. These look and feel just like regular Python functions: you provide typed inputs, outputs, and docstrings. However, instead of relying on…
2023 · github.com · its alternatives →
- 22
Functional programming without the hassle.
2015 · haskellformac.com · its alternatives →
- 23
A flexible artificial neural network builder to analyse performance, and optimise the best model. - GitHub - casparwylie/Perceptron: A flexible artificial neural network builder to analyse performance, and optimise the best model.
2017 · github.com · its alternatives →
- 24AB
2015 · neurovis.dataphoric.com · its alternatives →
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Ranked by how close each launch is in meaning, then by votes. Prices were read from each product’s own site when checked and can change. Refine with your own description →