AI · alternatives · 2026

24 alternatives to A Guide to Build Your 1st ML Model

machine learning, python, programming, beginner, software

Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes.

1
Igel – A CLI tool to run machine learning without writing code▲405
a delightful machine learning tool that allows you to train, test, and use models without writing code - nidhaloff/igel
2020 · github.com · its alternatives →
2
TensorFlow 1.0▲823
Open-source machine learning library by Google
2017 · tensorflow.org · its alternatives →
3
ML From Scratch – free online textbook▲259
2020 · dafriedman97.github.io · its alternatives →
4AV
A Visual and Interactive Guide to the Basics of Neural Networks▲63
Discussions: Hacker News (63 points, 8 comments), Reddit r/programming (312 points, 37 comments) Translations: Arabic, French, Spanish Update: Part 2 is now live: A Visual And Interactive Look at Basic Neural Network Math Motivation I’m not a machine learning expert. I’m a software engineer by train
2016 · jalammar.github.io · its alternatives →
5ML
Machine learning cheat sheet▲166
2011 · eferm.com · its alternatives →
6MM
My ML applications book, which HN helped me write (sample chapter) [pdf]▲272
2020 · mlpowered.com · its alternatives →
7
OCR pipeline for ML training (tables, diagrams, math, multilingual)▲170
Hi HN, I’ve been working on an OCR pipeline specifically optimized for machine learning dataset preparation. It’s designed to process complex academic materials — including math formulas, tables, figures, and multilingual text — and output clean, structured formats like JSON and Markdown. Some features: • Multi-stage OCR combining DocLayout-YOLO, Google Vision, MathPix, and Gemini Pro Vision • Extracts and understands diagrams, tables, LaTeX-style math, and multilingual text (Japanese/Korean/English) • Highly tuned for ML training pipelines, including dataset generation and…
2025 · github.com · its alternatives →
8
Data Engineering Book – An open source, community-driven guide▲251
Hi HN! I'm currently a Master's student at USTC (University of Science and Technology of China). I've been diving deep into Data Engineering, especially in the context of Large Language Models (LLMs). The Problem: I found that learning resources for modern data engineering are often fragmented and scattered across hundreds of medium articles or disjointed tutorials. It's hard to piece everything together into a coherent system. The Solution: I decided to open-source my learning notes and build them into a structured book. My goal is to help developers fast-track their learning curve. Key…
Feb 2026 · github.com · its alternatives →
9
Roboflow Universe▲237
Pre-trained computer vision models and public datasets
2021 · universe.roboflow.com · its alternatives →
10
ML Showcase▲214
A curated collection of machine learning projects
2017 · its alternatives →
11
Python Machine Learning▲80
Learning machine learning has never been easier
2017 · amazon.com · its alternatives →
12
Simple and comprehensive tutorials in Deep Learning using TensorFlow▲157
Simple and comprehensive tutorials in TensorFlow. Contribute to easy-tensorflow/easy-tensorflow development by creating an account on GitHub.
2018 · github.com · its alternatives →
13
Semiring AI▲94
Create powerful ML models from 5 data samples
2023 · semiring.ai · its alternatives →
14SP
Self-Published Book – “Data Science in Production”▲172
Hi HN, Over the past 6 months I've been working on a technical book focused on helping aspiring data scientists to get hands-on experience with cloud computing environments using the Python ecosystem. The book is targeted at readers already familiar with libraries such as Pandas and scikit-learn that are looking to build out a portfolio of applied projects. To author the book, I used the Leanpub platform to provide drafts of the text as I completed each chapter. To typeset the book, I used the R bookdown package by Yihui Xie to translate my markdown into a PDF format. I also used Google docs…
2020 · its alternatives →
15
Machine learning automation from creating to using models in production▲72
a delightful machine learning tool that allows you to train, test, and use models without writing code - GitHub - nidhaloff/igel at v0.4.0
2021 · github.com · its alternatives →
16IC
I co-wrote a book on training Deep Learning models in Go▲45
A friend and I wrote a book on how to build and train Deep Learning models in Go. We wanted it to be a useful reference for deep learning basics for Go programmers. Deep Learning is slowly seeping into everything we use every day and we thought it would be great if more people could do it in Go. The book is available here and on Amazon as well. https://www.packtpub.com/big-data-and-business-intelligence/hands-deep-learning-go We would appreciate any feedback and we're always looking to improve.
2019 · its alternatives →
17
Machine Learning▲77
A visual guide for beginners
2017 · amazon.com · its alternatives →
18
ML Blocks – Deploy multimodal AI workflows without code▲112
Hey everyone, ML Blocks is a node-based workflow builder to create multi-modal AI workflows without writing any code. You connect blocks that call various visual models like GPT4v, Segment Anything, Dino etc. along with basic image processing blocks like resize, invert color, blur, crop, and several others. The idea is to make it easier to deploy multi-step image processing workflows, without needing to spin up endless custom OpenCV cloud functions to glue together AI models. Usually, even if you're using cloud inference servers like Replicate, you still need to write your own image…
2024 · mlblocks.com · its alternatives →
19
I Wrote a Book on Data Analysis with Rust Notebooks▲105
A practical book on Data Analysis with Rust Notebooks that teaches you the concepts and how they’re implemented in practice.
2020 · datacrayon.com · its alternatives →
20
Redditflow▲8
Build ML models of future, and never run out of data.
2022 · github.com · its alternatives →
21
ZenML▲84
Create reproducible machine learning pipelines
2020 · github.com · its alternatives →
22TS
The Secret Tool Lets You Build ML Models During Meetings▲6
Hello Hacker News community! I'm currently working in financial risk management within the banking sector, and I began my career as a Data Science specialist. For quite some time, my friend and I have been developing a small pet project just for fun. This tool has repeatedly helped us save time when testing various hypotheses and machine learning models. The core idea is to combine different scripts—created in various programming languages and virtual environments—within a minimalist graphical interface. Whether you're building models, running a local neural network, or sending requests to…
2024 · its alternatives →
23
Codenull.ai▲80
Make No-Code AI models for free!
2023 · codenull.ai · its alternatives →
24
Build Machine Learning Web-Service with Python and Django▲67
My Machine Learning Web Service. Contribute to pplonski/my_ml_service development by creating an account on GitHub.
2020 · 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 →