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human-against-machine

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software/human-against-machine

Deep learning on dermatoscopic images, with a browser demo that lets you try the task against the model.

Machine-generated from the listed sources and not yet reviewed by a human.

human-against-machine project image
GitHub preview card for tmfreiberg/human-against-machine. Served by its origin, not stored here, and not covered by this registry’s licence.
record
Category
Software & Systems
Subcategory
unknown
License
MIT(osi)
Status
active
Maturity
deployed
Organization
unknown
Country
unknown
Homepage
tmfreiberg.github.io/human-against-machine/
Repository
github.com/tmfreiberg/human-against-machine
Documentation
unknown
Tags
computer-vision · deep-learning · dermatology · machine-learning · melanoma · onnx · pytorch-cnn · quarto
Regulatory
unknown
built by · 5

Top contributors by commit count, from the project’s public repository. Avatars are served by their origin, not stored here. To be removed from this list, open an issue.

similar by tags

Computed from shared tags, weighted so a rare tag counts for more than a common one. These are suggestions, not curated relationships.

  • isic-2019dermatology · melanoma

    ISIC 2019 - Skin Lesion Analysis Towards Melanoma Detection

  • lisp-netcomputer-vision · onnx

    Lightweight interactive medical image segmentation via in-context learning. Single dense 2D prompt + interactions → full 3D mask. Runs in-browser.

  • molecare-mcpdermatology · melanoma

    MCP server for educational dermatology knowledge, MoleCare API tools, and MLOps operations tooling. Runs in mock mode with no credentials. Not a medical device.

  • Dynamic-PyTorch-Netpytorch-cnn

    Class to automatic create Convolutional Neural Network in PyTorch

  • bh-sentinelonnx

    Open-source clinical safety signal detection for behavioral health systems. Text in. Flags out. Clinician decides.

  • dermwatchcomputer-vision · dermatology

    Private local skin-photo journal for tracking visible change — not a skin-cancer diagnostic tool

sources
  1. api.github.com/repos/tmfreiberg/human-against-machine
    retrieved 2026-08-05 · via github-api

    Machine-imported from GitHub search. Last push 2026-08-05, 4 stars, license reported as MIT. Category and schematic were assigned by keyword heuristics and are unreviewed.

Not yet verified by a human. Correct this record →

machine-readable

/v1/entries/36.json→ .entries["human-against-machine"]

Entries are sharded 64 ways by a stable hash of the id, so a consumer can find any record without an index.