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Apprentissage automatique · GitHub

Explorez les outils pour entraîner, évaluer et exécuter des modèles, et comparez leur popularité.

Projets GitHub utiles

4,492 projets

FISSURE

ainfosec

2,079étoiles

The RF and reverse engineering framework for everyone. Follow and ★ to show your support!

  • Detect, classify, capture, and analyze RF signals
  • Record, inspect, replay, and manipulate IQ data

mvtorch

ajhamdi

83étoiles
mvtorch preview

a Pytorch library for multi-view 3D understanding and generation

  • Render differentiable multi-view images from meshes and point clouds with 3D-2D correspondances.
  • Data loaders for 3D data and multi-view images (posed or unposed )

dolphin

ajshajib

28étoiles

Automated pipeline for lens modelling based on lenstronomy

  • 🤖 AI-Automated Modeling: Streamline forward modeling for large datasets of galaxy-scale lenses.
  • 🎛️ Flexible Workflows: Choose between fully automated runs or semi-automated modes with manual overrides.
Apprentissage automatiqueJupyter NotebookBSD-3-ClauseGitHub

paper_notes

AkihikoWatanabe

182étoiles
paper_notes preview

Daily notes on AI research, especially those on LLMs, VLMs, AI agents and related techniques such as pre-, mid-, post-training, RL, continual learning, test-time scaling, RSI, and more.