Alternatives

Products that do what Note does

Machine learning library

1
TensorFlow 1.0▲820
Open-source machine learning library by Google
2017 · tensorflow.org
2
MindsDB▲235
In-database machine learning
2022
3ML
Machine learning cheat sheet▲166
2011 · eferm.com
4
BrewNote▲497
AI-powered notes for user interviews
2023
5
Deepnote▲221
A data science notebook for teams
2020
6AA
An annotation tool for ML and NLP▲76
2021 · getmarkup.com
7CO
Collection of deep learning implementations with side-by-side notes▲251
2021 · nn.labml.ai
8
Python Machine Learning▲80
Learning machine learning has never been easier
2017
9
MonkeyLearn 3.0▲373
Get actionable data from text with machine learning
2018
10
Apple MLX▲138
An array framework for machine learning on Apple silicon
2023
11
AI Library▲406
The biggest free library of 1000+ AI tools
2023
12IA
Igel – A CLI tool to run machine learning without writing code▲405
2020 · github.com
13
Amazon Machine Learning ▲211
Machine learning made easy for developers of any skill level
2015
14
Swift AI▲243
A.I. and machine learning library written in Swift
2016
15
Lionbridge AI Annotation Platform▲78
All-in-one data annotation platform for machine learning
2019
16
Totallib▲226
Note-taking for better thinking, augmented by AI.
2021
17
Paperspace for Machine Learning▲152
A Linux desktop in the cloud built for Machine Learning
2016
18
ML Annotator▲79
Annotate machine learning data sets and output to models
2022
19
Audionotes Pro▲360
Turn voice & text notes into structured summaries & content
2023
20
Deepnote▲93
A collaboration platform for data scientists
2019
21FA
Featureform – An open-source Feature Store for ML▲136
2022 · github.com
22
ML Kit (by Google)▲195
Machine learning for mobile developers
2018
23
Lionbridge AI▲121
Data for machine learning in 300+ languages 🌎🤓🤖
2019
24OP
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

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