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Uncertainty interpretations of the neural network
AISTATS paper 'Uncertainty in Neural Networks: Approximately Bayesian Ensembling'
Computational analysis of B cell receptor repertoires in COVID-19 patients using deep embedded representations of protein sequences.
Bayesian Deep Learning Benchmarks
Bi-linear CNN for Bravais Lattice Prediction
Application of Active Learning in classifcation of images of cell organelles
Explainability of Deep Learning Models
Bayesian Inference of Slide-level Confidence via Uncertainty Index Thresholding
alpha i's blog
Experiments with Bayesian Neural Networks
Bayesian Neural Network for Uncertainty Estimation in Skin Lesion Classification
Implementation of U-Net from paper "U-Net: Convolutional Networks for Biomedical Image Segmentation" to segment tumor in given MRI images.
Patch-based 3D U-Net for brain tumor segmentation
Breast Cancer Prediction Using Machine Learning is a project which is going to deal with machine learning techniques, a state-of-the-art type of artificial intelligence that can be used by computers to detect and classify objects in images, could improve detection of breast cancer lesions in mammograms and help in the classification of breast cancer
Breast Cancer prediction through routine blood workThe goal of this study is to try and develop a prediction model to assess the potential of the routine blood work parameters as biomarker for prediction of breast cancer
BVAE
A tutorial for the 2018 paper Accurate Uncertainties for Deep Learning Using Calibrated Regression by Kuleshov et al.
Implementation of Camelyon'16 grand challenge
Multilevel cnn notebooks for Camelyon17
Keras Deep Learning neural network model for University of Wisconsin Cancer data that uses the Integrated Variants library to explain predictions made by a trained model
Multi-Instance-Learning to check breast cancer. An implementation of Patch-based Convolutional Neural Network for Whole Slide Tissue Image Classification[arXiv:1504.07947] https://arxiv.org/abs/1504.07947
Cancer detection through a blood test (CancerSEEK) using machine learning techniques.
R code for the algorithm used in Cohen et al. Science 2018 "Detection and localization of surgically resectable cancers with a multi-analyte blood test", Science 2018, 359(6378):926-930.
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.