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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

7,572 proyectos

p2pfl

p2pfl

156estrellas

P2PFL is a decentralized federated learning library that enables federated learning on peer-to-peer networks using gossip protocols, making collaborative AI model training possible without reliance on central servers.

  • 🚀 Easy to Use - Get started quickly with our intuitive API.
  • 🛡️ Reliable - Built for fault tolerance and resilience.
Aprendizaje automáticoJupyter NotebookGPL-3.0GitHub

PaddleMaterials

PaddlePaddle

130estrellas
PaddleMaterials preview

An End-to-End Deep Learning Toolkit for Materials Science

  • Property Prediction (PP) - Predict material properties from structure - Forward design or predict formation energy, band gap, elastic moduli etc.
  • Structure Generation (SG) - Generate novel crystal structures - Inverse design or structure generation

saliency

PAIR-code

996estrellas

Framework-agnostic implementation for state-of-the-art saliency methods (XRAI, BlurIG, SmoothGrad, and more).

Aprendizaje automáticoJupyter NotebookApache-2.0GitHub

SwinMTL

PardisTaghavi

50estrellas
SwinMTL preview

[IROS24]A Shared Architecture for Simultaneous Depth Estimation and Semantic Segmentation from Monocular Camera Images

Aprendizaje automáticoJupyter NotebookGPL-3.0GitHub
806estrellas

The goal of this library is to generate more helpful exception messages for matrix algebra expressions for numpy, pytorch, jax, tensorflow, keras, fastai.