Loss Functions Python Packages

auraloss

Collection of audio-focused loss functions in PyTorch

pytorch-optimizer

optimizer & lr scheduler & loss function collections in PyTorch

dists-pytorch

IQA: Deep Image Structure and Texture Similarity Metric

focal-loss

TensorFlow implementation of focal loss

torch-log-wmse

logWMSE, an audio quality metric & loss function with support for digital silence target. Useful for training and evaluating audio source separation systems.

torch-l1-snr

Variations of L1 SNR Loss function for training audio source separation machine learning models

torch-log-wmse-audio-quality

logWMSE, an audio quality metric & loss function with support for digital silence target. Useful for training and evaluating audio source separation systems.

pylandscape

This project propose the loss landscape analysis as effective methodology to understand the robustness against natural perturbation of QNN.

iqa-pytorch

Comparison of IQA models in Perceptual Optimization

bokbokbok

Custom Loss Functions and Evaluation Metrics for XGBoost and LightGBM

pytorch-focalloss

PyTorch implementation of binary and multi-class focal loss functions

balanced-loss

Easy to use class balanced cross entropy and focal loss implementation for Pytorch

gedml

GeDML is an easy-to-use generalized deep metric learning library, which contains state-of-the-art deep metric learning algorithms and auxiliary modules to build end-to-end compute vision systems

pietoolbelt

Toolbelt for PiePline training pipeline

losshub

Classification Loss Function Library

comport-ai

An HR predictive analytics tool for forecasting the likely range of a worker’s future job performance using multiple ANNs with custom loss functions.

object-condensation

Efficient implementations of the Object Condensation losses (Jan Kieseler, 2020)

treeboost-autograd

Easy Custom Losses for Tree Boosters using Pytorch

beta-divergence-metrics

PyTorch implementations of the beta divergence loss.

idsim

This repository can help researchers who want to use face recognition in their research.

distortion-residual

Differentiable Distortion Residual Level (DRL) metric for audio processing optimization

gluonfr

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

seesawloss

Seesaw Loss implementation using PyTorch

jax-loss

A jax library of common machine learning loss functions