Pinned Repositories
academic-keyword-occurrence
Extracts the historic word occurrence of a search term in academic papers
awesome-bayesian-statistics
A repository for collating all the resources such as articles, blogs, papers, and books related to Bayesian Statistics.
awesome-iot
Awesome IoT. A collaborative list of great resources about IoT Framework, Library, OS, Platform
Bayesian-Neural-Networks
Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace and more
bayesian-stats-modelling-tutorial
How to do Bayesian statistical modelling using numpy and PyMC3
COVID-19
Novel Coronavirus (COVID-19) Cases, provided by JHU CSSE
d3-milestones
A d3 based timeline visualization.
datasets
Datasets used in Plotly examples and documentation
deep-ensembles-uncertainty
My implementation of the paper "Simple and Scalable Predictive Uncertainty estimation using Deep Ensembles"
deep-learning-uncertainty
Literature survey, paper reviews, experimental setups and a collection of implementations for baselines methods for predictive uncertainty estimation in deep learning models.
haowu6027's Repositories
haowu6027/academic-keyword-occurrence
Extracts the historic word occurrence of a search term in academic papers
haowu6027/awesome-bayesian-statistics
A repository for collating all the resources such as articles, blogs, papers, and books related to Bayesian Statistics.
haowu6027/awesome-iot
Awesome IoT. A collaborative list of great resources about IoT Framework, Library, OS, Platform
haowu6027/Bayesian-Neural-Networks
Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace and more
haowu6027/bayesian-stats-modelling-tutorial
How to do Bayesian statistical modelling using numpy and PyMC3
haowu6027/COVID-19
Novel Coronavirus (COVID-19) Cases, provided by JHU CSSE
haowu6027/d3-milestones
A d3 based timeline visualization.
haowu6027/datasets
Datasets used in Plotly examples and documentation
haowu6027/deep-ensembles-uncertainty
My implementation of the paper "Simple and Scalable Predictive Uncertainty estimation using Deep Ensembles"
haowu6027/deep-learning-uncertainty
Literature survey, paper reviews, experimental setups and a collection of implementations for baselines methods for predictive uncertainty estimation in deep learning models.
haowu6027/deep-review
A collaboratively written review paper on deep learning, genomics, and precision medicine
haowu6027/defragTrees
Python code for tree ensemble interpretation
haowu6027/dowhy
DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.
haowu6027/Generative-Models-in-Classification
Supplementary material for the article "Combining Static and Dynamic Features for Multivariate Sequence Classification"
haowu6027/getting-MEAN
The source code for the application in my book Getting MEAN.
haowu6027/ML-From-Scratch
Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.
haowu6027/mlcourse.ai
Open Machine Learning Course
haowu6027/modem
haowu6027/Mr-SEQL
Time Series Classification with Multiple Symbolic Representations.
haowu6027/prappleizer.github.io
This repo contains my introductory python textbook for astronomy students, which covers the basics of learning the language with an emphasis on astronomical applications.
haowu6027/PyD3
haowu6027/pyprobml
Python code for "Machine learning: a probabilistic perspective" (2nd edition)
haowu6027/Python
All Algorithms implemented in Python
haowu6027/pytorch-classification-uncertainty
This repo contains a PyTorch implementation of the paper: "Evidential Deep Learning to Quantify Classification Uncertainty"
haowu6027/PyTorch-Tutorial
Build your neural network easy and fast
haowu6027/research-proposal-template
LaTeX template to outline and draft academic papers (or theses) in Computer Science (in English and German language)
haowu6027/sepsis3-mimic
Evaluation of the Sepsis-3 guidelines in MIMIC-III
haowu6027/sklearn-bayes
Python package for Bayesian Machine Learning with scikit-learn API
haowu6027/uncertainty_estimation_deep_learning
This repository provides the code used to implement the framework to provide deep learning models with total uncertainty estimates as described in "A General Framework for Uncertainty Estimation in Deep Learning" (Loquercio, Segù, Scaramuzza. RA-L 2020).
haowu6027/UncertaintyNN
Implementation and evaluation of different approaches to get uncertainty in neural networks