Chinese NER(Named Entity Recognition) using BERT(Softmax, CRF, Span)
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Updated
Mar 11, 2023 - Python
Chinese NER(Named Entity Recognition) using BERT(Softmax, CRF, Span)
label-smooth, amsoftmax, partial-fc, focal-loss, triplet-loss, lovasz-softmax. Maybe useful
PyTorch extensions for fast R&D prototyping and Kaggle farming
SSD-based object and text detection with Keras, SSD, DSOD, TextBoxes, SegLink, TextBoxes++, CRNN
Generalized Focal Loss: Learning Qualified and Distributed Bounding Boxes for Dense Object Detection, NeurIPS2020
PyTorch Implementation of Focal Loss and Lovasz-Softmax Loss
VarifocalNet: An IoU-aware Dense Object Detector
An implementation of the focal loss to be used with LightGBM for binary and multi-class classification problems
Multi-class classification with focal loss for imbalanced datasets
Voice Activity Detection (VAD) using deep learning.
中国法研杯CAIL2019要素抽取任务第三名方案分享
基于tf.keras的多标签多分类模型
A PyTorch implementation of U-Net for aerial imagery semantic segmentation.
Deep Face Recognition in PyTorch
Object detection and localization with Tensorflow 2 and Keras
[CVPR 2022] Rethinking Depth Estimation for Multi-View Stereo: A Unified Representation
Catalyst.Classification
Focal CTC for End-To-End OMR task with Class Imbalance, SangCTC (Part I)
A sample code for Lightweight Face Recognition competition ICCV2019
Polyloss Pytorch Implementation
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