Popular GitHub Repositories for Dice Roller

label-smooth, amsoftmax, partial-fc, focal-loss, triplet-loss, lovasz-softmax. Maybe useful

3D U-Net model for volumetric semantic segmentation written in pytorch

Train a Word2Vec model or LSA model, and Implement Conceptual Search\Semantic Search in Solr\Lucene - Simon Hughes Dice.com, Dice Tech Jobs

基于Tensorflow的常用模型，包括分类分割、新型激活、卷积模块，可在Tensorflow2.X下运行。

[CVPR 2024] Official PyTorch Code of SeaBird: Segmentation in Bird's View with Dice Loss Improves Monocular 3D Detection of Large Objects

??? This one stop project is a complete COVID-19 detection package comprising of 3 tasks: ? Task 1 --> COVID-19 Classification ? Task 2 --> COVID-19 Infection Segmentation ? Task 3 --> Lung Segmentation

some loss functions of image segmentation

Volumetric MRI brain tumor segmentation using autoencoder regularization

Implementation of U-Net from paper "U-Net: Convolutional Networks for Biomedical Image Segmentation" to segment tumor in given MRI images.

HistoSeg is an Encoder-Decoder DCNN which utilizes the novel Quick Attention Modules and Multi Loss function to generate segmentation masks from histopathological images with greater accuracy. This repo contains the code to Test and Train the HistoSeg

Dice.com's relevancy feedback solr plugin created by Simon Hughes (Dice). Contains request handlers for doing MLT style recommendations, conceptual search, semantic search and personalized search

Dice Scores Recognition in images and live video using CNN.

Adversarial Attack on 3D U-Net model: Brain Tumour Segmentation.

[ACL'23 main] DICE: Data-Efficient Clinical Event Extraction with Generative Models

[ACL 2025] DICE-BENCH: Evaluating the Tool-Use Capabilities of Large Language Models in Multi-Round, Multi-Party Dialogues

Machine Learning 2 Course Project at RKMVERI, 2021. Published at The Imaging Science Journal (2023), Paper: https://www.tandfonline.com/doi/full/10.1080/13682199.2023.2174657

putting idea's in Turing's head

Developed a Lung Cancer Segmentation model using the U-Net architecture and PyTorch Lightning framework. Achieved an unimpressive dice loss of 0.0247 more work is required.

PyTorch-implementation-DICE-algorithms

? Tensorflow Lite models for detecting and classifying dice