MultilabelCrossEntropyLoss-Pytorch

multilabel categorical crossentropy

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Ecosystems: Python

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Robust loss functions for deep neural networks (CVPR 2017)

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

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

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

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

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

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

Basic Machine Learning and Deep Learning

Implementation of CCNet: Criss-Cross Attention for Semantic Segmentation

PyTorch extensions for fast R&D prototyping and Kaggle farming

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