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Experiments used in "Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning"
An end-to-end walkthrough of the winning submission by grt123 for the Kaggle Data Science Bowl 2017
Code for "Depth Uncertainty in Neural Networks" (https://arxiv.org/abs/2006.08437)
Repository supporting the original research paper in Nature Communications (Primakov et al. 2022)
Implementation of Dynamic Routing Between Capsules, Sara Sabour, Nicholas Frosst, Geoffrey E Hinton, NIPS 2017
Application of deep learning and convolutional networks for ECG classification
CNN, RNN, and Bayesian NN classification for ECG time-series (using TensorFlow in Swift and Python)
End-to-end training for breast cancer diagnosis using deep all convolutional networks
A Baseline for Detecting Misclassified and Out-of-Distribution Examples in Neural Networks
Estimating Uncertainty in Deep Learning for Reporting Confidence to Clinicians in Medical Image Segmentation and Diseases Detection
Official implementation of "Evaluating Scalable Bayesian Deep Learning Methods for Robust Computer Vision", 2019
Analysis of RNA/protein expression data
4 different image classification ConvNets models for Fashion-MNIST dataset
We implement a convolutional neural network for the Fashion MNIST dataset and use bayesian optimization to tune hyperparameters
A repository for easy segmentation using a convolutional neural network structure.
A Hybrid Net for Visual Place Recognition https://doi.org/10.1109/LRA.2020.2967324
Code for 2nd edition of fMRI analysis handbook
Blending Genomics & Image Covariates
Scalable Generative Models for Mullti-label Learning with Missing Labels
contains input csv, python notebook for Glass identification through machine learning techniques
Google AI Research
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.