Popular GitHub Repositories for Dice Rolling

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

[ECCV2024] Gaussian Splatting on the Move: Blur and Rolling Shutter Compensation for Natural Camera Motion

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

A Deep Learning model that predict forecast the power generated by wind turbine in a Wind Energy Power Plant using LSTM (Long Short Term Memory) i.e modified recurrent neural network.

??? 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

[NeurIPS 2022] "FedRolex: Model-Heterogeneous Federated Learning with Rolling Sub-Model Extraction" by Samiul Alam, Luyang Liu, Ming Yan, and Mi Zhang

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

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

Hyperparameter tuning and rolling time-series forecast for machine learning models

Dice Scores Recognition in images and live video using CNN.

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

Source code for my research: PM2.5 Density Prediction based on a Two-Stage Rolling Forecast Model using LightGBM

Machine Learning-Based Generalized Model for Finite Element Analysis of Roll Deflection During the Austenitic Stainless Steel 316L Strip Rolling