MultilabelCrossEntropyLoss-Pytorch

multilabel categorical crossentropy

This is a Pytorch implementation of multilabel crossentropy loss, which is modified from Keras version here:

. (2020, Apr 25). softmax+ [Blog post]. Retrieved from https://kexue.fm/archives/7359

PyTorch Implementation of "Von Mises-Fisher Loss for Training Sequence to Sequence Models with Co...

Robust loss functions for deep neural networks (CVPR 2017)

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

PyTorch extensions for fast R&D prototyping and Kaggle farming

An Open-source Neural Hierarchical Multi-label Text Classification Toolkit

致力于将李航博士《统计学习方法》一书中所有算法实现一遍

Implementation of CCNet: Criss-Cross Attention for Semantic Segmentation

While using pytorch library and cat dog dataset, I tried to preserve clean code. Some extra prope...

It contains Data Augmentaion, Strided convolution, Batch Normalization, Leaky Relu, Global Averag...

Training of multi-label embeddings with k-shingled input sequences

Basic Machine Learning and Deep Learning