There are 9 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
Pytorch implementation of the paper "Class-Balanced Loss Based on Effective Number of Samples"
StyleGAN Encoder - converts real images to latent space
Collection of audio-focused loss functions in PyTorch
Angular penalty loss functions in Pytorch (ArcFace, SphereFace, Additive Margin, CosFace)
IQA: Deep Image Structure and Texture Similarity Metric
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。
Comparison of IQA models in Perceptual Optimization
Binary and Categorical Focal loss implementation in Keras.
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.
An unofficial Gluon FR Toolkit for face recognition. https://gluon-face.readthedocs.io
optimizer & lr scheduler & loss function collections in PyTorch
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]
Implementation of active contour loss function
TensorFlow implementation of focal loss
Probabilistic classification in PyTorch/TensorFlow/scikit-learn with Fenchel-Young losses
Julia package of loss functions for machine learning.
Standalone application for plotting charts with different training statistics in a browser.
Highly efficient PyTorch version of the Semi-hard Triplet loss ⚡️
🍑 TensorFlow Code for CVPR 2017 paper "SphereFace: Deep Hypersphere Embedding for Face Recognition"
[official] Norm-in-Norm Loss with Faster Convergence and Better Performance for Image Quality Assessment (ACM MM 2020)
Improving MMD-GAN training with repulsive loss function
DCCRN with various loss functions
Easy to use class balanced cross entropy and focal loss implementation for Pytorch
This is the code for Addressing Class Imbalance in Federated Learning (AAAI-2021).
deeplearning.ai Tensorflow advance techniques specialization
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.