loss-functions topic
Regression-Loss-Functions-in-Time-Series-Forecasting-Tensorflow
This repository contains the implementation of paper Temporal Fusion Transformers for Interpretable Multi-horizon Time Series Forecasting with different loss functions in Tensorflow. We have compare...
Regression-Loss-Functions-in-Time-Series-Forecasting-PyTorch
This repository compares the performance of 8 different regression loss functions used in Time Series Forecasting using Temporal Fusion Transformers.
IOU-for-bounding-box-regression-in-Keras
IOU as loss for object detection tasks and IOU as metric for object detection tasks
DFNet
Keras implementation of "DFNet: Discriminative feature extraction and integration network for salient object detection"
Triplet-Loss
Use Triplet Loss to finetune and train a CNN pre-trained on the Imagenet dataset
dl_note
深度学习系统笔记,包含深度学习数学基础知识、神经网络基础部件详解、深度学习炼丹策略、模型压缩算法详解,以及如何实现深度学习推理框架实战。
Loss-Functions-Package-Tensorflow-Keras-PyTorch
Loss function Package Tensorflow Keras PyTOrch
structured_tuning_srl
Implementation of our ACL 2020 paper: Structured Tuning for Semantic Role Labeling
Semi-supervised_FCM_Loss_for_Segmentation
Supervised and unsupervised loss functions for image segmentation based on the classical FCM objective function. (TensorFlow and PyTorch)
semantic-lossfunc
Treat Different Negatives Differently: Enriching Loss Functions with Domain and Range Constraints for Link Prediction