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Aprendizaje automático · GitHub

Explora herramientas para entrenar, evaluar y ejecutar modelos, y compara el interés de la comunidad.

Proyectos útiles de GitHub

7,593 proyectos

rs-trafilatura

Murrough-Foley

70estrellas

Fast, accurate web content extraction in Rust. ML page-type classification, per-type extraction, confidence scoring. F1=0.966 on ScrapingHub (#1), F1=0.859 across 2,008 annotated pages (1,497 development + 511 held-out test

  • Fast: 71 files/s for articles, 46 files/s overall on a 1,497-page benchmark (pure Rust, compile-time regex)
  • Accurate: F1 0.966 on ScrapingHub benchmark, F1 0.859 across 7 page types

swin2sr

mv-lab

697estrellas
swin2sr preview

[ECCV] Swin2SR: SwinV2 Transformer for Compressed Image Super-Resolution and Restoration. Advances in Image Manipulation (AIM) workshop ECCV 2022. Try it out! over 3.3M runs https://replicate.com/mv-lab/swin2sr

myosuite

MyoHub

1,287estrellas
myosuite preview

MyoSuite is a collection of environments/tasks to be solved by musculoskeletal models simulated with the MuJoCo physics engine and wrapped in the OpenAI gym API.

1,296estrellas
road-to-machine-learning preview

A comprehensive, step-by-step guide to learning Machine Learning from absolute basics to advanced topics

  • Report a problem (optional): Broken links, typos, or factual errors via GitHub Issues. That is a report, not a contribution channel.
  • Learn on the Study Hub: nabidinmotion.com is the canonical reader experience

MulimgViewer

nachifur

1,406estrellas
MulimgViewer preview

MulimgViewer is a multi-image viewer that can open multiple images in one interface, which is convenient for image comparison and image stitching.