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Deep learning
Deep Learning is an artificial neural network composed of many layers.

Cross-domain Correspondence Learning for Exemplar-based Image Translation. (CVPR 2020 Oral)
  • Python
  • 392
  • Updated
    on Dec 7, 2022

Deep Learning for Seismic Imaging and Interpretation
  • Python
  • 389
  • Updated
    on Sep 18, 2020

A PyTorch Graph Neural Network Library
  • Python
  • 372
  • Updated
    on Feb 1, 2022

CoCosNet v2: Full-Resolution Correspondence Learning for Image Translation
  • Python
  • 337
  • Updated
    yesterday

Personalized federated learning codebase for research
  • Python
  • 332
  • Updated
    on Oct 4, 2023

A DNN inference latency prediction toolkit for accurately modeling and predicting the latency on diverse edge devices.
  • Python
  • 328
  • Updated
    on Jun 19

Prototypical Pseudo Label Denoising and Target Structure Learning for Domain Adaptive Semantic Segmentation (CVPR 2021)
  • Python
  • 284
  • Updated
    on Jul 6, 2023

Kubernetes Scheduler for Deep Learning
  • Go
  • 252
  • Updated
    on May 22, 2022

Implementation of MoLeR: a generative model of molecular graphs which supports scaffold-constrained generation
  • Python
  • 250
  • Updated
    on Jan 4

HI-ML toolbox for deep learning for medical imaging and Azure integration
  • Python
  • 248
  • Updated
    yesterday
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Deep learning
Deep Learning is an artificial neural network composed of many layers.
Package icon

Sponsor open source projects you depend on

Contributors are working behind the scenes to make open source better for everyone—give them the help and recognition they deserve.Explore sponsorable projects
ProTip! 
Press the
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key to activate the search input again and adjust your query.