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#

loss

Here are 156 public repositories matching this topic...

Connectionist Temporal Classification (CTC) decoding algorithms: best path, beam search, lexicon search, prefix search, and token passing. Implemented in Python.

  • UpdatedJan 31, 2026
  • Python

Official Pytorch Implementation of: "Asymmetric Loss For Multi-Label Classification"(ICCV, 2021) paper

  • UpdatedAug 4, 2023
  • Python

遥感图像的语义分割,基于深度学习,在Tensorflow框架下,利用TF.Keras,运行环境TF2.0+

  • UpdatedApr 29, 2020
  • Python
Neural-Network-from-scratch

Ever wondered how to code your Neural Network using NumPy, with no frameworks involved?

  • UpdatedDec 24, 2018
  • Jupyter Notebook

Reproducing experimental results of LL4AL [Yoo et al. 2019 CVPR]

  • UpdatedAug 4, 2020
  • Python

YOLOv4 Pytorch implementation with all freebies and specials and 15+ more exclusive improvements. Easy to use!

  • UpdatedAug 3, 2021
  • Python

Code for the paper "Facial Emotion Recognition: State of the Art Performance on FER2013"

  • UpdatedMay 7, 2023
  • Jupyter Notebook

Torchélie is a set of utility functions, layers, losses, models, trainers and other things for PyTorch.

  • UpdatedDec 18, 2025
  • Python

Focal Loss of multi-classification in tensorflow

  • UpdatedFeb 25, 2019
  • Python

An implementation for mnist center loss training and visualization

  • UpdatedMar 2, 2018
  • Python

Library for testing and measuring network loss and latency between distributed endpoints.

  • UpdatedMay 29, 2019
  • Go
dacl

a simple pytorch implement of Multi-Sample Dropout

  • UpdatedAug 14, 2019
  • Python

Weighted Focal Loss for multilabel classification

  • UpdatedNov 6, 2018
  • Python

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