AI · alternatives · 2026
24 alternatives to I trained a neural network to learn Arabic morphology
Arabic root finder with neural nets! Contribute to tb0yd/rootfinder development by creating an account on GitHub.
This project is a neural network trained to understand Arabic morphology, the system of word formation and structure in the Arabic language. It is designed for researchers, linguists, and developers working with Arabic… Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes. I trained a neural network to learn Arabic morphology launched in 2018; newer entries below may have overtaken it.
- 1
Neural network inference the Unix way. Contribute to cloudkj/layer development by creating an account on GitHub.
2019 · github.com · its alternatives →
- 2
End-to-end deep dive of the project, spanning a large GPU cluster, distributed RocksDB, and terabytes of sharded HNSW.
2025 · blog.wilsonl.in · its alternatives →
- 3
First TTS model to support all 22 Indic languages + English
2024 · its alternatives →
- 4
Can neural networks transliterate Romaji into Japanese correctly? - GitHub - Kyubyong/neural_japanese_transliterator: Can neural networks transliterate Romaji into Japanese correctly?
2017 · github.com · its alternatives →
- 5
TLDR: I’ve made a transformer model and a wrapper library that segments text into meaningful semantic chunks. The current text splitting approaches rely on heuristics (although one can use neural embedder to group semantically related sentences). I propose a fully neural approach to semantic chunking. I took the base distilbert model and trained it on a bookcorpus to split concatenated text paragraphs into original paragraphs. Basically it’s a token classification task. Model fine-tuning took day and a half on a 2x1080ti. The library could be used as a text splitter module in a RAG system or…
2025 · github.com · its alternatives →
- 6
Sharing a friends first-ever Rails application, dedicated to Arabic learning, from 0 to 1. Pulls language learning methods from Anki, comprehensible input and more.
Mar 2026 · abjadpro.com · its alternatives →
- 7AV
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 →
- 8
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 →
- 9DT
2016 · danielheres.space · its alternatives →
- 10
sketch-rnn model trained to write kanji.
2018 · otoro.net · its alternatives →
- 11NL
Link: https://www.nlpdemystified.org/ Hi HN: After a year of work, I've published my free NLP course. The course helps anyone who knows Python and a bit of math go from the basics to today's mainstream models and frameworks. I strive to balance theory and practice, so every module consists of detailed explanations and slides along with a Colab notebook putting the ideas into practice (in most modules). The notebooks cover how to accomplish everyday NLP tasks including extracting key information, document search, text similarity, text classification, finding topics in…
2022 · its alternatives →
- 123W
2013 · wordcloud.ersatz1.com · its alternatives →
- 13
Hi HN: I published part one of my free NLP course. The course is intended to help anyone who knows Python and a bit of math go from the very basics all the way to today's mainstream models and frameworks. I strive to balance theory and practice and so every module consists of detailed explanations and slides along with a Colab notebook (in most modules) putting the theory into practice. In part one, we cover text preprocessing, how to turn text into numbers, and multiple ways to classify and search text using "classical" approaches. And along the way, we'll pick up useful bits on how to use…
2022 · nlpdemystified.org · its alternatives →
- 14
2016 · colinmorris.github.io · its alternatives →
- 15
By Rishabh Singh, Jacob Devlin, Abdelrahman Mohamed, and Pushmeet Kohli, Microsoft Research Despite the many advances in computing over the past decades, the actual process of writing computer software has not fundamentally changed — a programmer must manually code the exact algorithmic logic of a p
2017 · microsoft.com · its alternatives →
- 16
A robust Python tool for text-based AI training and generation using GPT-2. - minimaxir/aitextgen
2020 · github.com · its alternatives →
- 17WA
A phonetic Arabic keyboard I created maps English letters to Arabic sounds, covering emphatic letters, hamza, and diacritics—making it easier for learners and casual users to type Arabic.
2025 · sherifelmetwally.com · its alternatives →
- 18
A single / multi layer / recurrent neural network written in Golang. - made2591/go-perceptron-go
2017 · github.com · its alternatives →
- 19
Train and deploy speech AI models for free
2020 · console.deepgram.com · its alternatives →
- 20
End-to-end Automatic Speech Recognition for Madarian and English in Tensorflow - GitHub - zzw922cn/Automatic_Speech_Recognition: End-to-end Automatic Speech Recognition for Madarian and English in Tensorflow
2017 · github.com · its alternatives →
- 21
Sonnet▲134A new library for constructing neural networks from DeepMind
2017 · deepmind.google · its alternatives →
- 22
Purely functional artificial neural network library implemented in Haskell. - jbarrow/LambdaNet
2014 · github.com · its alternatives →
- 23IM
Recently moved to Egypt, and in dire need to get the numbers down. Great excuse to explore learning software some more. Possibly very niche, but maybe it is useful for someone else out there. Feedback is always welcome.
2023 · arabic-numbers.koljapluemer.com · its alternatives →
- 24
TLDR: I’m expanding the family of text-splitting Chonky models with new multilingual model. You can learn more about this neural approach in a previous post: https://news.ycombinator.com/item?id=43652968 Since the release of the first distilbert-based model I’ve released two more models based on a ModernBERT. All these models were pre-trained and fine-tuned primary on English texts. But recently mmBERT(https://huggingface.co/blog/mmbert) has been released. This model pre-trained on massive dataset that contains 1833 languages. So I had an idea of…
Oct 2025 · huggingface.co · 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 →