AI · alternatives · 2026
24 alternatives to That time I used a simple ML algorithm to classify deforested areas
A machine learning exercise, using KNN to classify deforested areas - victorqribeiro/deforestation
Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes. That time I used a simple ML algorithm to classify deforested areas launched in 2019; newer entries below may have overtaken it.
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Want something better than k-means? I'm happy to announce our SOTA k-medoids algorithm from NeurIPS 2020, BanditPAM, is now publicly available! `pip install banditpam` or `install.packages("banditpam")` and you're good to go! k-means is one of the most widely-used algorithms to cluster data. However, it has several limitations: a) it requires the use of L2 distance for efficient clustering, which also b) restricts the data you're clustering to be vectors, and c) doesn't require the means to be datapoints in the dataset. Unlike in k-means, the k-medoids problem requires cluster centers to be…
2023 · github.com · its alternatives →
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Use Mask R-CNN/Keras/TensorFlow and OSM to find features in satellite images for fun. - jremillard/images-to-osm
2018 · github.com · its alternatives →
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Machine learning made easy for developers of any skill level
2015 · aws.amazon.com · its alternatives →
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:earth_americas: Simple and ready-to-use deep learning examples for the Microsoft Cognitive Toolkit (CNTK) - CNTK-World/README.rst at master · astorfi/CNTK-World
2017 · github.com · its alternatives →
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Graph Neural Networks with Keras and Tensorflow 2. - danielegrattarola/spektral
2019 · github.com · its alternatives →
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Learning machine learning has never been easier
2017 · amazon.com · its alternatives →
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A Plain English Introduction to Machine Learning
2017 · amazon.com · its alternatives →
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Open-source machine learning library by Google
2018 · tensorflow.org · its alternatives →
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2018 · openavalancheproject.org · its alternatives →
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Powerful cloud-based predictive analytics, ML as a Service
2014 · azure.microsoft.com · its alternatives →
- 17ML
2016 · recalll.co · its alternatives →
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How to implement the various methods in real life settings
2016 · its alternatives →
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2017 · plantwithbloom.com · its alternatives →
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A brief introduction to Machine Learning
2015 · its alternatives →
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Nature's algorithms for learning and prospering in a complex
2015 · amazon.com · its alternatives →
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I built a browser-based tool for detecting objects in satellite imagery using vision-language models (VLMs). You draw a polygon on the map and enter a text prompt such as "swimming pools", "oil tanks", or "buses". The system scans the selected area tile-by-tile and returns detections projected back onto the map as GeoJSON. Pipeline: select area and zoom level, split the region into mercantile tiles, run each tile with the prompt through a VLM, convert predicted bounding boxes to geographic coordinates (WGS84), and render the results back on the map. It works reasonably well for distinct…
Mar 2026 · useful-ai-tools.com · its alternatives →
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k-means clustering algorithm implementation written in Go - muesli/kmeans
2018 · github.com · its alternatives →
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2024 · medium.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 →