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A Pytorch implementation of Attention on Attention module (both self and guided variants), for Visual Question Answering
Official Pytorch Implementation of: "Asymmetric Loss For Multi-Label Classification"(2020) paper
Pytorch implementation for "Distribution-Balanced Loss for Multi-Label Classification in Long-Tailed Datasets" (ECCV 2020 Spotlight)
PyTorch implementation of "Rethink Feature Distribution for Loss Functions in Image Classification" on CIFAR10 with RCNN from "Recurrent Convolutional Neural Network for Object Recognition".
A variant of the Self Attention GAN named: FAGAN (Full Attention GAN)
Generalized Focal Loss: Learning Qualified and Distributed Bounding Boxes for Dense Object Detection
Gold Loss Correction for training neural networks with labels corrupted with severe noise
Code for the ICASSP 2022 paper "Transformer-Based Multi-Aspect Multi-Granularity Non-native English Speaker Pronunciation Assessment".
Loss function for hierarchical structure data on PyTorch.
Rethinking Feature Distribution for Loss Functions in Image Classification
Implementation for <Large-Margin Softmax Loss for Convolutional Neural Networks> in ICML'16.
Large Margin In Softmax Cross-Entropy Loss
Transformer based on a variant of attention that is linear complexity in respect to sequence length
PyTorch implementation of a deep metric learning technique called "Magnet Loss" from Facebook AI Research (FAIR) in ICLR 2016.
Pytorch implementation of multitask CycleGAN with auxiliary classification loss
Code release for The Devil is in the Channels: Mutual-Channel Loss for Fine-Grained Image Classification (TIP 2020)
This repository is the implementation of the paper, "Score-balanced Loss for Multi-aspect Pronunciation Assessment" (Interspeech 2023).
PyTorch implementation of "Open-set Recognition of Unseen Macromolecules in Cellular Electron Cryo-Tomograms by Soft Large Margin Centralized Cosine Loss"
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
PyTorch code for softmax variants: center loss, cosface loss, large-margin gaussian mixture, COCOLoss, ring loss
The implementation of paper "SpeechTripleNet: End-to-End Disentangled Speech Representation Learning for Content, Timbre and Prosody"
Guide for both TensorFlow and PyTorch in comparative way
WARP Loss implementation for classification in PyTorch.
Production First and Production Ready End-to-End Keyword Spotting Toolkit
Research and Production Oriented Speaker Recognition Toolkit
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.