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Active Learning on Image Data using Bayesian ConvNets
Thesis for the MSc AI
This package provides a set of tools for performing active-learning with Gaussian Processes.
Course exercise of Advanced Statistic Inference
2018/2019/校招/春招/秋招/算法/机器学习(Machine Learning)/深度学习(Deep Learning)/自然语言处理(NLP)/C/C++/Python/面试笔记
Code for Active Learning with Gaussian Processes for High Throughput Phenotyping paper (https://arxiv.org/abs/1901.06803) (AAMAS 2019).
PyTorch implementation of AnimeGANv2
Multi-task learning using uncertainty to weigh losses for scene geometry and semantics, Auxiliary Tasks in Multi-task Learning
Deep Learning for Camera Calibration: A Survey
A curated list of awesome Python frameworks, libraries, software and resources
Semantic Segmentation on PyTorch (include FCN, PSPNet, Deeplabv3, Deeplabv3+, DANet, DenseASPP, BiSeNet, EncNet, DUNet, ICNet, ENet, OCNet, CCNet, PSANet, CGNet, ESPNet, LEDNet, DFANet)
A collection of resources on applications of Transformers in Medical Imaging.
Unofficial code for papers on Bayesian deep learning like MCMC, VAE, Bayes by Backprop etc.
PyTorch implementation of bayesian neural network.
Implement a network for semantic segmentation in image data, and also generate estimates of aleatoric and epistemic uncertainties associated with the segmentation.
A library for Bayesian neural network layers and uncertainty estimation in Deep Learning extending the core of PyTorch
Segmentation of cells using bayesian neural networks for a certainty metric
Bayesian Deep Learning: A Survey
Pytorch Bayesian UNet model for segmentation and uncertainty prediction
Bayesian Deep Learning Benchmarks
Bayesian deep learning for OoD detection benchmark
使用Bert,ERNIE,进行中文文本分类
Bayesian Neural Networks for Quantifying Uncertainty and Predicting Stock Fluctuations: A Comparison of LSTMs, GRUs, and Transformers
Code for the paper "Bayesian Neural Network Priors Revisited"
Fisheye or Normal Camera Intrinsic and Extrinsic Calibration. Surround Camera Bird Eye View Generator.
CARes-UNet: Content-Aware Residual UNet for Lesion Segmentation of COVID-19 from Chest CT Images
车牌识别
image classification with CIFAR10 dataset w/ Tensorflow
Learning Convolutional Neural Networks with Interactive Visualization. https://poloclub.github.io/cnn-explainer/
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.