loss

Connectionist Temporal Classification (CTC) decoding algorithms: best path, beam search, lexicon search, prefix search, and token passing. Implemented in Python.

Official Pytorch Implementation of: "Asymmetric Loss For Multi-Label Classification"(ICCV, 2021) paper

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

face recognition training project(pytorch)

遥感图像的语义分割，基于深度学习，在Tensorflow框架下，利用TF.Keras，运行环境TF2.0+

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

Reproducing experimental results of LL4AL [Yoo et al. 2019 CVPR]

Loss modelling framework.

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

Prostate MR Image Segmentation 2012

YOLOv4 Pytorch implementation with all freebies and specials and 15+ more exclusive improvements. Easy to use!

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

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

Focal Loss of multi-classification in tensorflow

An implementation for mnist center loss training and visualization

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

I very recently lost my amazing Mom to Pancreatic Cancer and this repository shares my story. I also will be writing stories about her and daily journal entries on how I'm feeling after the painful loss.

Deep Attentive Center Loss

Prostate MR Image Segmentation 2012

a simple pytorch implement of Multi-Sample Dropout