Loss Python Packages

oasislmf

Loss modelling framework.

zclip

Official implementation of the paper: "ZClip: Adaptive Spike Mitigation for LLM Pre-Training".

focal-frequency-loss

[ICCV 2021] Focal Frequency Loss for Image Reconstruction and Synthesis

llama

Library for testing and measuring network loss and latency between distributed endpoints.

pyincore

pyIncore is a component of IN-CORE. It is a python package consisting of two primary components: 1) a set of service classes to interact with the IN-CORE web services, and 2) IN-CORE analyses . The pyIncore allows users to apply various hazards to infrastructure in selected areas, propagating the effect of physical infrastructure damage and loss of functionality to social and economic impacts.

sysloss

Power tree analysis of circuits, boards and systems.

seqmetrics

Various errors for tabular/structured/time-series data

orientloss

orientLoss is a classification loss function @pytorch. It less prone to overfitting compared to crossEntropy. Compatible with random vector/embeddings with direction-indicating categories、probabilistic、oneHot as target.

nebula-loss

1 Loss Function For Everything

starttf

A tensorflow batteries included kit to write tensorflow networks from scratch or use existing ones.

deepevolution

A genetic algorithm to evolve tensorflow keras neural networks.

tf-focal-frequency-loss

Tensorflow Implementation of Focal Frequency Loss for Image Reconstruction and Synthesis [ICCV 2021]

treeboost-autograd

treeboost_autograd

beta-divergence-metrics

NumPy and PyTorch implementations of the beta-divergence loss.

deep-plots

📉 Visualize your Deep Learning training in static graphics

paddle-msssim

Fast and differentiable MS-SSIM and SSIM for paddle.

idsim

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

fftloss

The fftLoss @PyTorch is a frequency domain loss function that prevents the problem of weak frequency components being suppressed by strong frequency components when using a regular loss function.