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

Text recognition (optical character recognition) with deep learning methods, ICCV 2019
  • Jupyter Notebook
  • 3.7k
  • Updated
    on Mar 4

Official Implementation of SynthTIGER (Synthetic Text Image Generator), ICDAR 2021
  • Python
  • 481
  • Updated
    on Jun 14

Official Pytorch implementation of ReXNet (Rank eXpansion Network) with pretrained models
  • Python
  • 452
  • Updated
    on Jan 30, 2022

AdamP: Slowing Down the Slowdown for Momentum Optimizers on Scale-invariant Weights (ICLR 2021)
  • Python
  • 413
  • Updated
    on Jan 13, 2021

Tensorflow implementation of "Compounding the Performance Improvements of Assembled Techniques in a Convolutional Neural Network"
  • Python
  • 329
  • Updated
    on Jan 25, 2021

Code base for the precision, recall, density, and coverage metrics for generative models. ICML 2020.
  • Python
  • 242
  • Updated
    on Jan 9, 2023

The unified repository for few-shot font generation methods. This repository includes FUNIT (ICCV'19), DM-Font (ECCV'20), LF-Font (AAAI'2…
  • Python
  • 203
  • Updated
    on Nov 21, 2023

Official Pytorch implementation of ReBias (Learning De-biased Representations with Biased Representations), ICML 2020
  • Python
  • 170
  • Updated
    on Jul 25

Official PyTorch implementation of LF-Font (Few-shot Font Generation with Localized Style Representations and Factorization) AAAI 2021
  • Python
  • 156
  • Updated
    on Nov 21, 2023

Official PyTorch implementation of MX-Font (Multiple Heads are Better than One: Few-shot Font Generation with Multiple Localized Experts)…
  • Python
  • 149
  • Updated
    on Nov 21, 2023
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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
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