loss-functions
There are 310 repositories under loss-functions topic.
BoltzmannEntropy/interviews.ai
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.
bermanmaxim/LovaszSoftmax
Code for the Lovász-Softmax loss (CVPR 2018)
KaiyangZhou/pytorch-center-loss
Pytorch implementation of Center Loss
csteinmetz1/auraloss
Collection of audio-focused loss functions in PyTorch
vandit15/Class-balanced-loss-pytorch
Pytorch implementation of the paper "Class-Balanced Loss Based on Effective Number of Samples"
pbaylies/stylegan-encoder
StyleGAN Encoder - converts real images to latent space
harleyszhang/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。
cvqluu/Angular-Penalty-Softmax-Losses-Pytorch
Angular penalty loss functions in Pytorch (ArcFace, SphereFace, Additive Margin, CosFace)
happynear/AMSoftmax
A simple yet effective loss function for face verification.
dingkeyan93/DISTS
IQA: Deep Image Structure and Texture Similarity Metric
kozistr/pytorch_optimizer
optimizer & lr scheduler & loss function collections in PyTorch
happynoom/DeepTrade
A LSTM model using Risk Estimation loss function for stock trades in market
dingkeyan93/IQA-optimization
Comparison of IQA models in Perceptual Optimization
GT-RIPL/L2C
Learning to Cluster. A deep clustering strategy.
umbertogriffo/focal-loss-keras
Binary and Categorical Focal loss implementation in Keras.
NikolaZubic/2dimageto3dmodel
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.
THUFutureLab/gluon-face
An unofficial Gluon FR Toolkit for face recognition. https://gluon-face.readthedocs.io
AdeelH/pytorch-multi-class-focal-loss
An (unofficial) implementation of Focal Loss, as described in the RetinaNet paper, generalized to the multi-class case.
Mephisto405/Learning-Loss-for-Active-Learning
Reproducing experimental results of LL4AL [Yoo et al. 2019 CVPR]
xuuuuuuchen/Active-Contour-Loss
Implementation of active contour loss function
artemmavrin/focal-loss
TensorFlow implementation of focal loss
mblondel/fenchel-young-losses
Probabilistic classification in PyTorch/TensorFlow/scikit-learn with Fenchel-Young losses
JuliaML/LossFunctions.jl
Julia package of loss functions for machine learning.
catboost/catboost-viewer
Standalone application for plotting charts with different training statistics in a browser.
kahnchana/opl
Official repository for "Orthogonal Projection Loss" (ICCV'21)
alfonmedela/triplet-loss-pytorch
Highly efficient PyTorch version of the Semi-hard Triplet loss ⚡️
YunYang1994/SphereFace
🍑 TensorFlow Code for CVPR 2017 paper "SphereFace: Deep Hypersphere Embedding for Face Recognition"
fcakyon/balanced-loss
Easy to use class balanced cross entropy and focal loss implementation for Pytorch
lidq92/LinearityIQA
[official] Norm-in-Norm Loss with Faster Convergence and Better Performance for Image Quality Assessment (ACM MM 2020)
seorim0/DCCRN-with-various-loss-functions
DCCRN with various loss functions
richardwth/MMD-GAN
Improving MMD-GAN training with repulsive loss function
balanced-fl/Addressing-Class-Imbalance-FL
This is the code for Addressing Class Imbalance in Federated Learning (AAAI-2021).
aryan-jadon/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 compared 14 regression loss functions performance on 4 different datasets.
yiyixuxu/polyloss-pytorch
Implementing PolyLoss in Pytorch
sasidhar-programmer/Tensorflow_Advance_Techniques
deeplearning.ai Tensorflow advance techniques specialization
HiLab-git/ACELoss
Implementations of "Learning Euler's Elastica Model for Medical Image Segmentation"