loss topic

Ever wondered how to code your Neural Network using NumPy, with no frameworks involved?

ahmedbesbes

Torchélie is a set of utility functions, layers, losses, models, trainers and other things for PyTorch.

Vermeille

🔥🔥🔥 专注于YOLOv5，YOLOv7、YOLOv8、YOLOv9改进模型，Support to improve backbone, neck, head, loss, IoU, NMS and other modules🚀

iscyy

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

dropbox

Code for the paper "Facial Emotion Recognition: State of the Art Performance on FER2013"

usef-kh

Prostate MR Image Segmentation 2012

junqiangchen

Loss modelling framework.

OasisLMF

Focal Loss of multi-classification in tensorflow

zhezh

An implementation for mnist center loss training and visualization

shamangary

Implementation of "Anchor Loss: Modulating loss scale based on prediction difficulty"

slryou41