AI · alternatives · 2026
24 alternatives to sklearn-genetic-opt
Python automl using evolutionary algorithms.
Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes. sklearn-genetic-opt launched in 2021; newer entries below may have overtaken it.
- 1AG
2010 · puremango.co.uk · its alternatives →
- 2MB
Beautiful Data Science
2020 · shahinrostami.com · its alternatives →
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Genetic algorithm library written in JavaScript. Contribute to lodenrogue/genetic-algorithm-js development by creating an account on GitHub.
2020 · github.com · its alternatives →
- 5
Evolutionary Algorithms (EAs) are a fascinating class of algorithms for meta-heuristic optimisation. Perhaps the most difficult question to answer is where do we start? There is so much to cover, and many potential starting points.
2020 · datacrayon.com · its alternatives →
- 6LE
2020 · store.shahinrostami.com · its alternatives →
- 7
Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation - mljar/mljar-supervised
2022 · github.com · its alternatives →
- 8
A practical book on Evolutionary Algorithms that teaches you the concepts and how they’re implemented in practice.
2021 · datacrayon.com · its alternatives →
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An AIMGP (Automatic Induction of Machine code by Genetic Programming) engine - evoasm/evoasm.rb
2016 · github.com · its alternatives →
- 11
A generative AI pair programmer optimized for data science
2023 · its alternatives →
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Experimental Global Optimization Algorithm. Contribute to chrisstroemel/Simple development by creating an account on GitHub.
2018 · github.com · its alternatives →
- 13
Provide an input CSV and a target field to predict, generate a model + code to run it. - minimaxir/automl-gs
2019 · github.com · its alternatives →
- 14
Python based framework for Automatic AI for Regression and Classification over numerical data. Performs model search, hyper-parameter tuning, and high-quality Jupyter Notebook code generation. - blobcity/autoai
2021 · github.com · its alternatives →
- 15
Recently I've been working on making LLM evaluations fast by using bayesian optimization to select a sensible subset. Bayesian optimization is used because it’s good for exploration / exploitation of expensive black box (paraphrase, LLM). I would love to hear your thoughts and suggestions on this!
2024 · github.com · its alternatives →
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2016 · blog.otoro.net · its alternatives →
- 17
Breed cars and make them evolve with natural selection.
2015 · rednuht.org · its alternatives →
- 18OA
https://github.com/gugarosa/opytimizer Did you ever reach a bottleneck in your computational experiments? Are you tired of selecting suitable parameters for a chosen technique? If yes, Opytimizer is the real deal! This package provides an easy-to-go implementation of meta-heuristic optimizations. From agents to search space, from internal functions to external communication, we will foster all research related to optimizing stuff. Use Opytimizer if you need a library or wish to: - Create your optimization algorithm; - Design or use pre-loaded optimization tasks; -…
2021 · its alternatives →
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A web-based application for quick, scalable, and automated hyperparameter tuning and stacked ensembling in Python. - reiinakano/xcessiv
2017 · github.com · its alternatives →
- 20
Computer optimized League of Legends Builds. Use the automatic theorycrafter to create builds and then turn them into guides for sharing!
2021 · lolsolved.gg · its alternatives →
- 21UG
2021 · victorribeiro.com · its alternatives →
- 22
A robust Python tool for text-based AI training and generation using GPT-2. - minimaxir/aitextgen
2020 · github.com · its alternatives →
- 23
Hi HN! I'm excited to share Autolabel, an open-source Python library to label and enrich text datasets with any Large Language Model (LLM) of your choice. We built Autolabel because access to clean, labeled data is a huge bottleneck for most ML/data science teams. The most capable LLMs are able to label data with high accuracy, and at a fraction of the cost and time compared to manual labeling. With Autolabel, you can leverage LLMs to label any text dataset with <5 lines of code. We’re eager for your feedback!
2023 · github.com · its alternatives →
- 24DA
Hey HN! I've been working on a project called Darwin that I'm thrilled to share with you. Darwin is essentially your GitHub agent powered by large language models (LLMs). It checks out your projects, understands them through natural language prompts, and automates tasks such as fixing issues, documenting code, reviewing pull requests, and more. What drove me to create Darwin was a desire to harness the power of LLMs in a way that's seamlessly integrated with the tools I use daily. The motivation came from my curiosity about what could be possible when writing code that understands code.…
2024 · darwin-ai.dev · 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 →