Ai-seed Alternatives

Similar projects and alternatives to ai-seed

  1. HungaBunga

    HungaBunga: Brute-Force all sklearn models with all parameters using .fit .predict!

  2. SaaSHub

    SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives

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  3. adanet

    2 ai-seed VS adanet

    Discontinued Fast and flexible AutoML with learning guarantees.

  4. autoai

    3 ai-seed VS autoai

    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.

  5. automlbenchmark

    OpenML AutoML Benchmarking Framework

  6. artificial-intelligence-and-machine-learning

    A repository for implementation of artificial intelligence algorithm which includes machine learning and deep learning algorithm as well as classical AI search algorithm

  7. Time-series-classification-and-clustering-with-Reservoir-Computing

    Implement Reservoir Computing models for time series classification, clustering, forecasting, and much more!

  8. GANime-FullBody

    1 ai-seed VS GANime-FullBody

    ( ͡° ͜ʖ ͡°) GANime-FullBody 🤖 Full-body Anime Generative model from when there's no diffusion

  9. ML-For-Beginners

    34 ai-seed VS ML-For-Beginners

    12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all

  10. rMsync

    2 ai-seed VS rMsync

    A script for synchronizing the reMarkable e-reader

  11. Significance-Hypothesis-Reasoning-System

    SHYRS: A proof of concept for specifying how humans solve ARC-AGI-2 puzzles

NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a better ai-seed alternative or higher similarity.

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ai-seed reviews and mentions

Posts with mentions or reviews of ai-seed. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-11-12.
  • Show HN: AutoAI
    5 projects | news.ycombinator.com | 12 Nov 2021
    Thanks for your question. Yes, we did research the space a lot before making AutoAI. Here is what we found:

    PyCaret: Semi-automatic. You do the first run; then you figure the next set of runs. Ensemble models require manual configuration.

    Tpot: Does a great job. Generates 4-5 lines of py code too. But does not support Neural Networks / DNN. So works only for problems where GOFAI works.

    H2O.ai: They have an open-source flavor, but the best way to use it is the enterprise version on the H2O cloud. The interface is confusing, and the final output is black-box.

    Now there are many in the enterprise category, such as DataRobot, AWS SageMaker, Azure etc. Most are unaffordable to Data Scientists unless your employer is sponsoring the platform.

    AutoAI: This is 100% automated. Uses GOFAI, Neural Networks and DNN, all in one box. It is 100% White-box. It is the only AutoML framework that generates high-quality (1000s of lines) of Jupyter Notebook code. You can check some example codes here: https://cloud.blobcity.com

  • [P] Comparison for all Sklearn Classifiers
    2 projects | /r/MachineLearning | 4 Oct 2021
  • Ready AI Code Templates
    2 projects | news.ycombinator.com | 27 Aug 2021
    Hi, this is the team at BlobCity. Creators of A.I. Cloud (https://cloud.blobcity.com). We just released 400+ ready to use AI seed projects. Code templates provide newbie data scientists a great starting reference. We ourselves find them super useful. Let us know what you all think!
  • Show HN: Ready code templates for your next AI Experiment
    1 project | news.ycombinator.com | 27 Aug 2021
  • A note from our sponsor - SaaSHub
    www.saashub.com | 17 Aug 2026
    SaaSHub helps you find the best software and product alternatives Learn more →

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Did you know that Jupyter Notebook is
the 15th most popular programming language
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