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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

210K 862 77
kozistr
pytorch-optimizer

optimizer & lr scheduler & loss function collections in PyTorch

183K 406 38
dingkeyan93
dists-pytorch

IQA: Deep Image Structure and Texture Similarity Metric

80K 478 46
artemmavrin
focal-loss

TensorFlow implementation of focal loss

26K 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
balditommaso
pylandscape

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

982 3 0
dingkeyan93
iqa-pytorch

Comparison of IQA models in Perceptual Optimization

826 322 42
orchardbirds
bokbokbok

Custom Loss Functions and Evaluation Metrics for XGBoost and LightGBM

822 39 7
dannycollinson
pytorch-focalloss

PyTorch implementation of binary and multi-class focal loss functions

771 1 0
fcakyon
balanced-loss

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

608 98 9
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

540 36 3
PiePline
pietoolbelt

Toolbelt for PiePline training pipeline

432 1 2
kadirnar
losshub

Classification Loss Function Library

200 14 1
NeuraXenetica
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.

175 2 0
object-condensation
object-condensation

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

174 2 0
TomerRonen34
treeboost-autograd

Easy Custom Losses for Tree Boosters using Pytorch

137 35 8
wecarsoniv
beta-divergence-metrics

PyTorch implementations of the beta divergence loss.

118 11 0
m-pektas
idsim

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

103 1 0
agrathwohl
distortion-residual

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

98 0 0
THUFutureLab
gluonfr

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

65 267 51
jahongir7174
seesawloss

Seesaw Loss implementation using PyTorch

40 3 0
ddehueck
jax-loss

A jax library of common machine learning loss functions

1 5 2
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