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AI · alternatives · 2026

24 alternatives to A Flask API that uses a Scikit Learn model to detect Autism cases

This project has 3 goals: To find out the best machine learning pipeline for predicting ASD cases using genetic algorithms, via the TPOT library. (Classification Problem) Compare the accuracy of the accuracy of the determined pipeline, with a standard Naive-Bayes classifier. Saving the classifier as

Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes. A Flask API that uses a Scikit Learn model to detect Autism cases launched in 2018; newer entries below may have overtaken it.

  1. 1

    Hey all, I built this. It’s not trying to capture every autistic experience (that’d be impossible). It’s based on my own lived experience as well as that of friends on the spectrum. I'm trying to give people a feel for what masking, decision fatigue, and burnout can look like day-to-day. That’s hard to explain in words, but easier to show through choices and stats. I'm not trying to "define autism". I’ve gotten good feedback here about resilience, meds, and difficulty tuning. I’ll keep tweaking it. If even a few people walk away thinking, "ah, maybe that’s why my coworker struggles in those…

    2025 · autism-simulator.vercel.app · its alternatives →

  2. 2

    I spent a lot of time and money on this rather big side project of mine that attempts to replicate the mechanistic interpretability research on proprietary LLMs that was quite popular this year and produced great research papers by Anthropic [1], OpenAI [2] and Deepmind [3]. I am quite proud of this project and since I consider myself the target audience for HackerNews did I think that maybe some of you would appreciate this open research replication as well. Happy to answer any questions or face any feedback. Cheers [1]…

    2024 · github.com · its alternatives →

  3. 3SF

    I've made a small Python library, designed for quick-and-easy prototyping of machine learning models. It's built on top of scikit-learn, to serialize and deserialize data from the forms you're likely to have, to the format used in scikit-learn. https://github.com/madman-bob/Smart-Fruit It's pretty bare-bones at the moment, but I thought I'd see if there was any interest before spending too much time on it. Let me know what you think.

    2018 · its alternatives →

  4. 4

    A Python toolkit for rule-based/unsupervised anomaly detection in time series - arundo/adtk

    2019 · github.com · its alternatives →

  5. 5

    Accelerating open machine learning research with Cloud TPUs

    2017 · sites.research.google · its alternatives →

  6. 6

    Detect developmental delays in children

    2025 · its alternatives →

  7. 7

    Google's AI map of every possible human DNA mutation

    Sep 2026 · blog.google · its alternatives →

  8. 8

    A graph-based functional API for building complex scikit-learn pipelines. - alegonz/baikal

    2020 · github.com · its alternatives →

  9. 9

    OSS Python library for detecting silent ML model failure

    2022 · nannyml.com · its alternatives →

  10. 10

    Genetic algorithm library written in JavaScript. Contribute to lodenrogue/genetic-algorithm-js development by creating an account on GitHub.

    2020 · github.com · its alternatives →

  11. 11

    I am excited to announce the release of TabPFN v2, a tabular foundation model that delivers state-of-the-art predictions on small datasets in just 2.8 seconds for classification and 4.8 seconds for regression compared to strong baselines tuned for 4 hours. Published in Nature, this model outperforms traditional methods on datasets with up to 10,000 samples and 500 features. The model is available under an open license: a derivative of the Apache 2 license with a single modification, adding an enhanced attribution requirement inspired by the Llama 3 license:…

    2025 · nature.com · its alternatives →

  12. 12

    Spam classifier in pure Go using Naive Bayes. Contribute to igomez10/nspammer development by creating an account on GitHub.

    Nov 2025 · github.com · its alternatives →

  13. 13SC
  14. 14IT

    I built this app over a week as a way to learn how to use TensorFlow with Mobilenets and to get some experience with Google Play (and partly as a dare). It's written in Java, as I wasn't able to find a Kotlin API for TFLite. It was built with Bazel. I'm pretty satisfied with the actual detector's performance, although I expect I could improve the UI a little bit. It's a weird UX, as you want it to be as simple and fast as possible (loss/notloss) but you also want it to have some sort of recognizability. I would love to hear your thoughts.…

    2018 · its alternatives →

  15. 15

    A web-based application for quick, scalable, and automated hyperparameter tuning and stacked ensembling in Python. - reiinakano/xcessiv

    2017 · github.com · its alternatives →

  16. 16

    I've built an advanced RAG (Retrieval-Augmented Generation) pipeline from scratch to demystify the complex mechanics of modern LLM-powered Question Answering systems. This repository features: -- An implementation of a sub-question query engine from scratch to answer complex user questions. -- Illustrative explanations that unveil the inner workings of the system. -- An analysis of the challenges I faced while working with the system, like prompt engineering and cost estimation. -- Qualitative comparison with similar frameworks like LlamaIndex, offering a broader perspective. Key Takeaway:…

    2023 · github.com · its alternatives →

  17. 17

    text classification - no machine learning knowledge needed - Windsooon/cherry

    2019 · github.com · its alternatives →

  18. 18

    A Python library for detecting patterns and anomalies in massive datasets using the Matrix Profile - target/matrixprofile-ts

    2019 · github.com · its alternatives →

  19. 19AG
  20. 20

    Optimal Quantile Approximation in Streams. Contribute to axiomhq/quantiles development by creating an account on GitHub.

    2018 · github.com · its alternatives →

  21. 21

    Vector space model implemented in a few lines . Contribute to felipehummel/TinySearchEngine development by creating an account on GitHub.

    2011 · github.com · its alternatives →

  22. 22

    Experimental Global Optimization Algorithm. Contribute to chrisstroemel/Simple development by creating an account on GitHub.

    2018 · github.com · its alternatives →

  23. 23

    elkai is a Python library for approx. solving travelling salesman problems (TSP) based on LKH 3 - fikisipi/elkai

    2019 · github.com · its alternatives →

  24. 24RH

    Hi Hacker News! I’m a Bayesian statistician that has been working on applying hierarchical mixture models (originally developed for genomics) to structure text data, and in the process, used these models to build (what started as a personal) tool for conducting literature reviews and deep research. My literature review process starts with a broad search to find a few key papers/groups, and from there expands along their citation networks. I needed to conduct a few rounds of literature reviews during the course of my research and decided to build a tool to facilitate this process. The…

    Oct 2025 · sturdystatistics.com · its alternatives →

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