dl-loss Goto Github PK
Type: Organization
Type: Organization
An unofficial pytorch implementation for "Learning Active Contour Models for Medical Image Segmentation" by Chen, Xu, et al.
[ICML2020] Normalized Loss Functions for Deep Learning with Noisy Labels
[ICCV 2019] Adaptive Wing Loss for Robust Face Alignment via Heatmap Regression - Official Implementation
Official PyTorch Implementation of aLRP Loss [NeurIPS2020]
Angular penalty loss functions in Pytorch (ArcFace, SphereFace, Additive Margin, CosFace)
The implementation of "Towards accurate one-stage object detection with AP-loss".
Official Pytorch Implementation of: "Asymmetric Loss For Multi-Label Classification"(ICCV, 2021) paper
Provides a dynamic stop-loss that automatically adjusts as the price increases or decreases (depending on mode specified)
Official code for "Boundary loss for highly unbalanced segmentation", runner-up for best paper award at MIDL 2019. Extended version in MedIA, volume 67, January 2021.
center loss for face recognition
Pytorch implementation of the paper "Circle Loss: A Unified Perspective of Pair Similarity Optimization"
Class-Balanced Loss Based on Effective Number of Samples. CVPR 2019
Pytorch implementation of the paper "Class-Balanced Loss Based on Effective Number of Samples"
Contextual Loss (CX) and Contextual Bilateral Loss (CoBi).
The Contextual Loss
Experiments with supervised contrastive learning methods with different loss functions
DCCRN with various loss functions
Distance-IoU Loss into SSD
Pytorch implementation for "Distribution-Balanced Loss for Multi-Label Classification in Long-Tailed Datasets" (ECCV 2020 Spotlight)
PyTorch Implementation for DR Loss
Official repository of the paper "EMO: Earth Mover Distance Optimization for Auto-Regressive Language Modeling"(https://arxiv.org/abs/2310.04691)
Probabilistic classification in PyTorch/TensorFlow/scikit-learn with Fenchel-Young losses
[ICCV 2021] Focal Frequency Loss for Image Reconstruction and Synthesis
Focal loss for Dense Object Detection
全中文注释.(The loss function of retinanet based on pytorch).(You can use it on one-stage detection task or classifical task, to solve data imbalance influence).用于one-stage目标检测算法,提升检测效果.你也可以在分类任务中使用该损失函数,解决数据不平衡问题.
A PyTorch Implementation of Focal Loss.
Official code for "The Group Loss for Deep Metric Learning" paper (ECCV 2020)
Implementation of Hausdorff loss function for DNN learning in segmentation tasks.
PyTorch implementation of Center Loss & Contrastive-Center Loss.
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.