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Loss Functions Python Packages

Python packages with the GitHub topic loss-functions. Sorted by relevance, with stars and monthly downloads.
csteinmetz1
auraloss

Collection of audio-focused loss functions in PyTorch

185K 864 78
kozistr
pytorch-optimizer

optimizer & lr scheduler & loss function collections in PyTorch

178K 412 38
dingkeyan93
dists-pytorch

IQA: Deep Image Structure and Texture Similarity Metric

84K 478 46
artemmavrin
focal-loss

TensorFlow implementation of focal loss

23K 191 42
crlandsc
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.

3K 46 1
crlandsc
torch-l1-snr

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

2K 43 0
crlandsc
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.

1K 46 1
orchardbirds
bokbokbok

Custom Losses and Metrics for XGBoost, LightGBM

974 39 7
dingkeyan93
iqa-pytorch

Comparison of IQA models in Perceptual Optimization

964 322 42
dannycollinson
pytorch-focalloss

PyTorch implementation of binary and multi-class focal loss functions

917 1 0
fcakyon
balanced-loss

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

806 98 9
balditommaso
pylandscape

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

457 3 1
elna4os
mtl-uncertainty-loss

PyTorch unofficial implementation for uncertainty-weighted multi-task loss (Kendall et al., 2018)

385 0 0
zbr17
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

349 36 3
NeuraXenetica
comport-ai

An HR predictive analytics tool that forecasts the likely range of a worker’s future job performance, using ANNs whose custom loss functions enable them to formulate prediction intervals that are as small as possible, while being just large enough to contain a worker’s actual future performance in most cases.

249 2 0
PiePline
pietoolbelt

Toolbelt for PiePline training pipeline

231 1 2
object-condensation
object-condensation

Efficient implementation of object condensation losses for use in various projects

207 2 0
kadirnar
losshub

LossHub: Loss Functions Library for Image Classification and Detection

179 14 1
TomerRonen34
treeboost-autograd

treeboost_autograd

149 35 8
wecarsoniv
beta-divergence-metrics

NumPy and PyTorch implementations of the beta-divergence loss.

139 11 0
agrathwohl
distortion-residual

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

109 0 0
m-pektas
idsim

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

92 1 0
THUFutureLab
gluonfr

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

72 267 51
jahongir7174
seesawloss

Seesaw Loss implementation using PyTorch

35 3 0
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