Life & fun · alternatives · 2026
24 alternatives to Bak Tang Wiesenfeld text generation
Markov Chain-style Bak Tang Wiesenfeld text generation - howonlee/btw-text
Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes. Bak Tang Wiesenfeld text generation launched in 2014; newer entries below may have overtaken it.
- 1
Generating fun Stack Overflow and Stack Exchange Questions using Markov Chains
2018 · se-simulator.lw1.at · its alternatives →
- 2
Outlines is a Python library that focuses on text generation with large language models. Brandon and I are not LLM experts and started the project a few months ago because we wanted to understand better how the generation process works. Our original background is probabilistic, relational and symbolic programming. Recently we came up with a fast way to generate text that matches a regex (https://blog.normalcomputing.ai/posts/2023-07-27-regex-guide...). The basic idea is simple: regular expressions have an equivalent Deterministic-Finite Automaton (DFA) representation. We…
2023 · github.com · its alternatives →
- 3PG
2013 · grantslatton.com · its alternatives →
- 4
Markov Chain Twitter Bot generator. Contribute to EivindArvesen/dankenstein development by creating an account on GitHub.
2018 · github.com · its alternatives →
- 5
A robust Python tool for text-based AI training and generation using GPT-2. - minimaxir/aitextgen
2020 · github.com · its alternatives →
- 6
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 →
- 7
Creating high-quality scientific figures can be time-consuming and challenging, even though sketching ideas on paper is relatively easy. Furthermore, recreating existing figures that are not stored in formats preserving semantic information is equally complex. To tackle this problem, we introduce DeTikZify, a novel multimodal language model that automatically synthesizes scientific figures as semantics-preserving TikZ graphics programs based on sketches and existing figures. We also introduce a Monte Carlo Tree Search-based inference algorithm that enables DeTikZify to iteratively refine its…
2024 · github.com · its alternatives →
- 8
Probabilistic language based on pattern matching and constraint propagation, 153 examples - mxgmn/MarkovJunior
2022 · github.com · its alternatives →
- 9MB
Growth at Anthropic. Previously Growth Engineering leader at MasterClass and Opendoor.
2012 · alexeymk.com · its alternatives →
- 10BA
2017 · medium.com · its alternatives →
- 11
Python package + CLI to generate stylistic wordclouds, including gradients and icon shapes! - minimaxir/stylecloud
2019 · github.com · its alternatives →
- 12
Generates tweets for you using Markov bigram probabilities
2016 · its alternatives →
- 13
Stephen Wolfram's new book on the Wolfram Language
2015 · wolfram.com · its alternatives →
- 14
I spent months running experiments on what language models do when they encounter inputs outside their training distribution — random phonemes, invented morphemes, Wierzbicka's semantic primitives. The finding that surprised me: Language model behavior follows a reproducible taxonomy (Synthesis, Collapse, Overflow, Metacognition, Linguistic Drift). It's not random noise — it's classifiable. The finding that matters for interpretability: Structure is a more reliable control variable than content. Telling a model how to structure reasoning produces consistent outputs. Telling it what to reason…
Mar 2026 · github.com · its alternatives →
- 15PG
Start a tweet with @letpgfinish, and it will be finished as if by Paul Graham himself. This was a weekend project I undertook with a couple of friends just for fun. The original one was @letkanyefinish, so you might like to try that out too... in fact, it seems to work much better (funnily enough, there's a definite inverse relationship between literacy of bot and literacy of its human counterpart). Anyway, the output is based on pg's essays and various tweets/quotes. Having used HN silently for a while, we thought we'd share this - so hope you enjoy :)
2014 · its alternatives →
- 16GS
2017 · thedurkweb.com · its alternatives →
- 17
It’s written in Python and I call it GoalChain. It lets you build a conversation flow graph that the user traverses. When there’s enough input it spits out a dictionary with the defined fields. Otherwise it will jump state to state as led by the user. It was fun to write, and it’s surprisingly effective if you keep in mind you’re prompt-engineering every string and field name. README.md has a mini-tutorial. Would be cool to get some ideas for how to build it further and what improvements I could make.
2024 · github.com · its alternatives →
- 18LI
2018 · languagemodels.io · its alternatives →
- 19AT
Hey HN! Erik here from banana.dev We’ve trained a small(ish) language model on structured extraction, and today we’re launching a playground for it at https://anythingtojson.com. Give it a try! This model continues our work on structured generation, following last week’s launch of Fructose[1], a python client for strongly-typed LLM responses. There seem to be two distinct halves of the problem intended to be solved by Fructose and structured generation: 1. the reasoning ability of the model, such as performing chain of thought, creative acts, and natural language tasks. In a way,…
2024 · anythingtojson.com · its alternatives →
- 20
A lightweight vanilla Javascript micro-library for making collapsible trees with JSON - MaxLeiter/jsonTree
2016 · github.com · its alternatives →
- 21DA
2014 · docbag.org · its alternatives →
- 22
Marko JS▲16High performance templating and UI component building.
2016 · markojs.com · its alternatives →
- 23
Reproducing the paper "Kernel-Based Approaches for Sequence Modeling: Connections to Neural Methods" - palakg11/KASM-Pytorch
2019 · github.com · its alternatives →
- 24
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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- Dankenstein – Markov Chain Twitter Bot Generator alternatives
- A Python tool for text-based AI training and generation using GPT-2 alternatives
- Fine-grained stylistic control of LLMs using model arithmetic alternatives
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 →