Popular GitHub Repositories for Loss Functions

Code for the Lovász-Softmax loss (CVPR 2018)

A simple yet effective loss function for face verification.

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。

Learning to Cluster. A deep clustering strategy.

An unofficial Gluon FR Toolkit for face recognition. https://gluon-face.readthedocs.io

An (unofficial) implementation of Focal Loss, as described in the RetinaNet paper, generalized to the multi-class case.

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

Improving MMD-GAN training with repulsive loss function

This is the code for Addressing Class Imbalance in Federated Learning (AAAI-2021).

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 compared 14 regression loss functions performance on 4 different datasets.

some loss functions of image segmentation

Fully unsupervised 2D/3D image registration with ConvNet (TensorFlow)

Use Triplet Loss to finetune and train a CNN pre-trained on the Imagenet dataset

Easy Custom Losses for Tree Boosters using Pytorch

Code of the ICASSP 2022 paper "Gradient Variance Loss for Structure Enhanced Super-Resolution"

Implementation of models in our EMNLP 2019 paper: A Logic-Driven Framework for Consistency of Neural Models

Treat Different Negatives Differently: Enriching Loss Functions with Domain and Range Constraints for Link Prediction

Implementation of our ACL 2020 paper: Structured Tuning for Semantic Role Labeling

Paper code for "Adapting a deep convolutional RNN model with imbalanced regression loss for improved spatio-temporal forecasting of extreme wind speed events in the short-to-medium range".

Supervised and unsupervised loss functions for image segmentation based on the classical FCM objective function. (TensorFlow and PyTorch)