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aoa-pytorch

A Pytorch implementation of Attention on Attention module (both self and guided variants), for Visual Question Answering

april2022_trainer

asl

Official Pytorch Implementation of: "Asymmetric Loss For Multi-Label Classification"(2020) paper

asvspoof5-sasvbaseline

disentangle_sv_with_club

distributionbalancedloss

Pytorch implementation for "Distribution-Balanced Loss for Multi-Label Classification in Long-Tailed Datasets" (ECCV 2020 Spotlight)

experiments_with_large_gaussion_margin

PyTorch implementation of "Rethink Feature Distribution for Loss Functions in Image Classification" on CIFAR10 with RCNN from "Recurrent Convolutional Neural Network for Object Recognition".

fagan

A variant of the Self Attention GAN named: FAGAN (Full Attention GAN)

gfocal

Generalized Focal Loss: Learning Qualified and Distributed Bounding Boxes for Dense Object Detection

glc

Gold Loss Correction for training neural networks with labels corrupted with severe noise

gopt

Code for the ICASSP 2022 paper "Transformer-Based Multi-Aspect Multi-Granularity Non-native English Speaker Pronunciation Assessment".

hierarchicalcrossentropyloss_forclassification

Loss function for hierarchical structure data on PyTorch.

l-gm_loss_pytorch

Rethinking Feature Distribution for Loss Functions in Image Classification

largemargin_softmax_loss

Implementation for <Large-Margin Softmax Loss for Convolutional Neural Networks> in ICML'16.

largemargininsoftmax

Large Margin In Softmax Cross-Entropy Loss

linear-attention-transformer

Transformer based on a variant of attention that is linear complexity in respect to sequence length

magnetloss-pytorch

PyTorch implementation of a deep metric learning technique called "Magnet Loss" from Facebook AI Research (FAIR) in ICLR 2016.

multitask-cyclegan

Pytorch implementation of multitask CycleGAN with auxiliary classification loss

mutual-channel-loss

Code release for The Devil is in the Channels: Mutual-Channel Loss for Fine-Grained Image Classification (TIP 2020)

sb_loss_pa

This repository is the implementation of the paper, "Score-balanced Loss for Multi-aspect Pronunciation Assessment" (Interspeech 2023).

softlmccl

PyTorch implementation of "Open-set Recognition of Unseen Macromolecules in Cellular Electron Cryo-Tomograms by Soft Large Margin Centralized Cosine Loss"

softmax_loss_variants_pytorch

The PyTorch implementation of variants of loss for text classification & text matching. 基于PyTorch实现的文本分类与文本匹配损失函数变种

softmax_variants

PyTorch code for softmax variants: center loss, cosface loss, large-margin gaussian mixture, COCOLoss, ring loss

speechtriplenet

The implementation of paper "SpeechTripleNet: End-to-End Disentangled Speech Representation Learning for Content, Timbre and Prosody"

tensorflow-vs-pytorch

Guide for both TensorFlow and PyTorch in comparative way

warp-loss-pytorch

WARP Loss implementation for classification in PyTorch.

wekws

Production First and Production Ready End-to-End Keyword Spotting Toolkit

wespeaker

Research and Production Oriented Speaker Recognition Toolkit