Dev tools · alternatives · 2026
24 alternatives to RNN that generates Game of Thrones text
LSTM trained on the first five ASOIAF/GOT books. Contribute to zackthoutt/got-book-6 development by creating an account on GitHub.
This is a recurrent neural network trained on Game of Thrones dialogue and text to generate original content in the same style. It's for fans of the series interested in seeing what an AI can produce when trained on… Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes. RNN that generates Game of Thrones text launched in 2017; newer entries below may have overtaken it.
- 1
Thinking, Fast and Slow - with 523 comments from the Hacker News community
2021 · hacker-recommended-books.vercel.app · its alternatives →
- 2
Built a ~9M param LLM from scratch to understand how they actually work. Vanilla transformer, 60K synthetic conversations, ~130 lines of PyTorch. Trains in 5 min on a free Colab T4. The fish thinks the meaning of life is food. Fork it and swap the personality for your own character.
Apr 2026 · github.com · its alternatives →
- 3
Easily train your own text-generating neural network of any size and complexity on any text dataset with a few lines of code. - minimaxir/textgenrnn
2017 · github.com · its alternatives →
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Resumes generated by a neural network
2019 · thisresumedoesnotexist.com · its alternatives →
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sketch-rnn model trained to write kanji.
2018 · otoro.net · its alternatives →
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Released for Hangul Day 2026: how I collected 4,500 lines of handwriting with a smartpen, adapted Alex Graves
15d ago · hangul.ink · its alternatives →
- 7
So far I've used it to reference ideas from books I've read before. I've also used it to explore books I have not read before by asking the bot questions. Some people have told me they use it like a reading companion. They pause while reading the book if they have a question, and use Konjer to answer it.
2023 · konjer.xyz · its alternatives →
- 8
An artificial machine learning program that attempts to impersonate the writing style of any given text training set - JacobPlaster/ann-writer
2015 · github.com · its alternatives →
- 9
See how a modern neural network completes your text.
2019 · inferkit.com · its alternatives →
- 10
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 →
- 11
A robust Python tool for text-based AI training and generation using GPT-2. - minimaxir/aitextgen
2020 · github.com · its alternatives →
- 12SA
Best in class AI Writer, AI Story Writer, AI Text Summarizer, and AI Headline Generator. Generate unique, quality content, summaries, and headlines with AI.
2020 · sassbook.com · its alternatives →
- 13
Hey HN! I love finding new books to read on here. I wanted to gather the most mentioned books and recreate the serendipity of physical browsing. I scraped 20k comments from HN threads related to reading, extracted the references and opinions using GPT-4o mini, and visualised their embeddings as a map. - OpenAI's embeddings were processed using UMAP and HDBSCAN. A direct 2D projection from the text embeddings didn't yield visually interesting results. Instead, HDBSCAN is first applied on a high-dimensional projection. Those clusters tend to correspond to different genres. The genre…
2024 · hnbooks.pieterma.es · its alternatives →
- 14KG
Hi HN! My latest side project is knowledge graph that maps the French culinary network using data extracted from restaurant reviews from LeFooding.com. The project uses LLMs to extract structured information from unstructured text. Some technical aspects you may be interested in: - Used structured generation to reliably parse unstructured text into a consistent schema - Tested multiple models (Mistral-7B-v0.3, Llama3.2-3B, gpt4o-mini) for information extraction - Created an interactive visualization using gephi-lite and Retina (WebGL) - Built (with Claude) a simple Flask web app to clean and…
2025 · theophilecantelob.re · its alternatives →
- 15GR
Realistic handwriting generator. Convert text to handwriting using an in-browser recurrent neural network. Choose from various print and cursive styles. Customize the outputs and download as SVG.
2020 · calligrapher.ai · its alternatives →
- 16
Hi HN community. We are excited to open source Dataherald’s natural-language-to-SQL engine today (https://github.com/Dataherald/dataherald). This engine allows you to set up an API from your structured database that can answer questions in plain English. GPT-4 class LLMs have gotten remarkably good at writing SQL. However, out-of-the-box LLMs and existing frameworks would not work with our own structured data at a necessary quality level. For example, given the question “what was the average rent in Los Angeles in May 2023?” a reasonable human would either assume the…
2023 · github.com · its alternatives →
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2016 · colinmorris.github.io · its alternatives →
- 18
We developed a new framework that enables flexible control of generated text in language models. By combining several models and/or system prompts in one mathematical formula, it lets you tweak your style and combine model outputs with ease. A handy tool for those working with LLMs, looking for more fine-grained control of stylistic output. More details in our paper: https://arxiv.org/abs/2311.14479. Feedback and potential applications are welcome.
2023 · github.com · its alternatives →
- 19
AI4Animation in javascript & three.js. Contribute to sneha-belkhale/AI4Animation-js development by creating an account on GitHub.
2019 · github.com · its alternatives →
- 20IP
To be specific, the content is generated by a GPT-2 based model. https://amzn.to/2TCc0v2 Let me know if you have any questions :-)
2020 · its alternatives →
- 21IC
2020 · docs.google.com · its alternatives →
- 22EL
Hey HN! I'd love to get some people to mess around with a little side project I built to teach myself DSPy! I've been a big fan of reading fiction + webnovels for a while now, and have always been curious about two things: how can LLMs iteratively learn to write better based on reader feedback, and which LLMs are actually best at creative writing (research benchmarks are cool, but don't necessarily translate to real-world usage). That's exactly why I built narrator.sh! The platform takes in a user input for a novel idea, then generates serialized fiction chapter-by-chapter by using DSPy to…
2025 · narrator.sh · its alternatives →
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Neural Search. Contribute to raphaelsty/neural-cherche development by creating an account on GitHub.
2023 · github.com · its alternatives →
- 24
Hi HN - Marcello and Vaibhav here. We built smolmodels to experiment with using LLMs for ML development. It's a fully open-source library that generates complete model training and inference code from natural language descriptions. It combines graph search with LLM code generation to find a model that gives as good predictions as possible. The core idea is that LLMs are overkill for a lot of predictive tasks. Smolmodels automates the trial-and-error process of finding the right model architecture and training approach, letting you build small, specialised models. You can either provide your…
2025 · github.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 →