160 skills found · Page 1 of 6
CoinCheung / Pytorch Losslabel-smooth, amsoftmax, partial-fc, focal-loss, triplet-loss, lovasz-softmax. Maybe useful
lonePatient / BERT NER PytorchChinese NER(Named Entity Recognition) using BERT(Softmax, CRF, Span)
BloodAxe / Pytorch ToolbeltPyTorch extensions for fast R&D prototyping and Kaggle farming
clcarwin / Focal Loss PytorchA PyTorch Implementation of Focal Loss.
EndlessSora / Focal Frequency Loss[ICCV 2021] Focal Frequency Loss for Image Reconstruction and Synthesis
yatengLG / Focal Loss Pytorch全中文注释.(The loss function of retinanet based on pytorch).(You can use it on one-stage detection task or classifical task, to solve data imbalance influence).用于one-stage目标检测算法,提升检测效果.你也可以在分类任务中使用该损失函数,解决数据不平衡问题.
unsky / Focal LossFocal loss for Dense Object Detection
nabsabraham / Focal Tversky UnetThis repo contains the code for our paper "A novel focal Tversky loss function and improved Attention U-Net for lesion segmentation" accepted at IEEE ISBI 2019.
hyz-xmaster / VarifocalNetVarifocalNet: An IoU-aware Dense Object Detector
jhwjhw0123 / Imbalance XGBoostXGBoost for label-imbalanced data: XGBoost with weighted and focal loss functions
Hsuxu / Loss ToolBox PyTorchPyTorch Implementation of Focal Loss and Lovasz-Softmax Loss
mkocabas / Focal Loss KerasFocal Loss implementation in Keras
ChiefGodMan / Focal Loss Implement On TensorflowThe implementation of focal loss proposed on "Focal Loss for Dense Object Detection" by KM He and support for multi-label dataset.
DetectionTeamUCAS / RetinaNet Tensorflow RotationFocal Loss for Dense Rotation Object Detection
umbertogriffo / Focal Loss KerasBinary and Categorical Focal loss implementation in Keras.
xinyi-code / NLP Loss PytorchImplementation of some unbalanced loss like focal_loss, dice_loss, DSC Loss, GHM Loss et.al
jrzaurin / LightGBM With Focal LossAn implementation of the focal loss to be used with LightGBM for binary and multi-class classification problems
AdeelH / Pytorch Multi Class Focal LossAn (unofficial) implementation of Focal Loss, as described in the RetinaNet paper, generalized to the multi-class case.
prstrive / UniMVSNet[CVPR 2022] Rethinking Depth Estimation for Multi-View Stereo: A Unified Representation
unsky / RetinaNetFocal loss for Dense Object Detection
