There are 7 repositories under loss-functions topic.
It is my belief that you, the postgraduate students and job-seekers for whom the book is primarily meant will benefit from reading it; however, it is my hope that even the most experienced researchers will find it fascinating as well.
Code for the Lovász-Softmax loss (CVPR 2018)
Pytorch implementation of Center Loss
StyleGAN Encoder - converts real images to latent space
Pytorch implementation of the paper "Class-Balanced Loss Based on Effective Number of Samples"
Angular penalty loss functions in Pytorch (ArcFace, SphereFace, Additive Margin, CosFace)
Collection of audio-focused loss functions in PyTorch
An unofficial Gluon FR Toolkit for face recognition. https://gluon-face.readthedocs.io
Binary and Categorical Focal loss implementation in Keras.
IQA: Deep Image Structure and Texture Similarity Metric
Comparison of IQA models in Perceptual Optimization
Implementation of active contour loss function
Probabilistic classification in PyTorch/TensorFlow/scikit-learn with Fenchel-Young losses
We evaluate our method on different datasets (including ShapeNet, CUB-200-2011, and Pascal3D+) and achieve state-of-the-art results, outperforming all the other supervised and unsupervised methods and 3D representations, all in terms of performance, accuracy, and training time.
Reproducing experimental results of LL4AL [Yoo et al. 2019 CVPR]
TensorFlow implementation of focal loss
Julia package of loss functions for machine learning.
Standalone application for plotting charts with different training statistics in a browser.
🍑 TensorFlow Code for CVPR 2017 paper "SphereFace: Deep Hypersphere Embedding for Face Recognition"
An (unofficial) implementation of Focal Loss, as described in the RetinaNet paper, generalized to the multi-class case.
Improving MMD-GAN training with repulsive loss function
[official] Norm-in-Norm Loss with Faster Convergence and Better Performance for Image Quality Assessment (ACM MM 2020)
deeplearning.ai Tensorflow advance techniques specialization
Highly efficient PyTorch version of the Semi-hard Triplet loss ⚡️
some loss functions of image segmentation
Towards Learning Structure via Consensus for Face Segmentation and Parsing (CVPR 2020)
This is the code for Addressing Class Imbalance in Federated Learning (AAAI-2021).
Implementations of "Learning Euler's Elastica Model for Medical Image Segmentation"
TensorFlow (Keras) implementation of MobileNetV3 and its segmentation head
Weighted Focal Loss for multilabel classification