Tag Archives: Open Source

Beyond the 2D Bounding Box: Why Bioimage Deep Learning Is a Completely Different Beast and How BiaPy Tames It

By | August 24, 2026
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https://github.com/lynchaos/biapy-hub https://lynchaos-biapy-hub-app-hlcmfj.streamlit.app/ If you have spent your machine learning career optimizing ResNets or YOLO on ImageNet and COCO, here is an inconvenient truth: standard computer vision has spoiled you. In standard computer vision, a batch is usually an RGB triplet where . The pixels are isotropic, the spatial coordinates are Euclidean, the lighting is roughly… Read More: Beyond the 2D Bounding Box: Why Bioimage Deep Learning Is… »

I turned a Raspberry Pi into a tiny weather intelligence powerhouse

By | August 16, 2026
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A Raspberry Pi Zero 2 W paired with a Sense HAT V2 runs a fully self-contained, edge-native machine learning weather station with no cloud, GPU, or heavy ML frameworks. The system uses pure NumPy implementations of Recursive Least Squares, Kalman filtering, conformal prediction, and drift detection, staying under 150 MB RAM. The station continuously updates… Read More: I turned a Raspberry Pi into a tiny weather intelligence… »

I Built a Single-Cell RNA-seq Pipeline That Writes Its Own Report

By | June 7, 2026
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TIL-Scope

Single-cell RNA sequencing is one of those techniques that generates a huge amount of data and then demands a huge amount of effort to interpret it. You run the sequencer, get a matrix of 20,000 genes by several thousand cells, and then spend the next several days (or weeks) figuring out what’s in there. I… Read More: I Built a Single-Cell RNA-seq Pipeline That Writes Its Own… »

Cracker Blaster: a little block puzzle I built for my daughter

By | June 4, 2026
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A small, cracker-themed block puzzle I cloned and polished for my four-year-old — built in plain vanilla JavaScript with synthesised audio, a Three.js bloom backdrop, and a deliberately forgiving combo system. Free to play, open source on GitHub.

From Lab Bench to Browser: A Hybrid Digital Twin for CHO Cell Culture

By | May 30, 2026
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CHO Digital Twin

I rebuilt two published CHO cell-culture papers — a hybrid ODE + machine-learning growth model, and a genome-scale metabolic reduction pipeline — as an interactive digital twin that runs in the browser. Here’s how it works, what’s under the hood, and an honest take on what it’s good for. No hosted version yet; the code is on GitHub and a live instance is coming soon.

Building ML Tools Scientists Will Actually Use

By | January 25, 2026
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The Gap Between Models and Tools I’ve seen a lot of impressive ML models in biopharma that never get used. Not because the science is wrong, but because the tool doesn’t fit into anyone’s workflow. The model might be published in Nature Methods with beautiful receiver operating characteristic curves, but if a discovery scientist can’t… Read More: Building ML Tools Scientists Will Actually Use »