yjinhua Goto Github PK

bayesian-neural-network-blogpost

Building a Bayesian deep learning classifier

cflow

This is official Pytorch implementation of "Uncertainty quantification in medical image segmentation with Normalizing Flows", Raghavendra Selvan et al. 2020

examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

flutter_stocks

项目使用Flutter进行开发，同时支持Andriod与iOS。 支持财经新闻阅读、实时大盘指数、实时沪深行情、k线查看、登录、网页查看、侧边栏、系統分享、微信分享等功能

lightning

Deep learning framework to train, deploy, and ship AI products Lightning fast.

mdkl

The PyTorch code for the publication "Quantifying Predictive Uncertainty in Medical Image Analysis with Deep Kernel Learning" on ICHI 2021 (9th IEEE International Conference on Healthcare Informatics)

miccai_qubiq_21

Holistic network for quantifying uncertainties in medical images. Work presented at the MICCAI BrainLes 2021 workshop.

mlexp

probabilistic-deep-learning-with-tensorflow

Probabilistic Deep Learning finds its application in autonomous vehicles and medical diagnoses. This is an increasingly important area of deep learning that aims to quantify the noise and uncertainty that is often present in real-world datasets.

trace

Modern crypto portfolio & market explorer. Built with @Flutter

uncertainty-deep-image-prior

On Uncertainty Estimation in Medical ImageDenoising with Bayesian Deep Image Prior