#Loss-functions
Showing 17 of 17 repositories tagged #loss-functions, ranked by stars
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.
Pytorch implementation of Center Loss
Pytorch implementation of the paper "Class-Balanced Loss Based on Effective Number of Samples"
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。
optimizer & lr scheduler & loss function collections in PyTorch
A LSTM model using Risk Estimation loss function for stock trades in market
Learning to Cluster. A deep clustering strategy.
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) implementation of Focal Loss, as described in the RetinaNet paper, generalized to the multi-class case.
Standalone application for plotting charts with different training statistics in a browser.
[official] Norm-in-Norm Loss with Faster Convergence and Better Performance for Image Quality Assessment (ACM MM 2020)
Easy to use class balanced cross entropy and focal loss implementation for Pytorch
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.
TensorFlow (Keras) implementation of MobileNetV3 and its segmentation head
EnsLoss: Stochastic Calibrated Loss Ensembles for Preventing Overfitting in Classification