haowu6027 Goto Github PK

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.

deep-review

A collaboratively written review paper on deep learning, genomics, and precision medicine

defragtrees

Python code for tree ensemble interpretation

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.

generative-models-in-classification

Supplementary material for the article "Combining Static and Dynamic Features for Multivariate Sequence Classification"

getting-mean

The source code for the application in my book Getting MEAN.

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.

mlcourse.ai

Open Machine Learning Course

modem

mr-seql

Time Series Classification with Multiple Symbolic Representations.

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.

pyd3

pyprobml

Python code for "Machine learning: a probabilistic perspective" (2nd edition)

python

All Algorithms implemented in Python

pytorch-classification-uncertainty

This repo contains a PyTorch implementation of the paper: "Evidential Deep Learning to Quantify Classification Uncertainty"

pytorch-tutorial

Build your neural network easy and fast

research-proposal-template

LaTeX template to outline and draft academic papers (or theses) in Computer Science (in English and German language)

sepsis3-mimic

Evaluation of the Sepsis-3 guidelines in MIMIC-III

sklearn-bayes

Python package for Bayesian Machine Learning with scikit-learn API

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).

uncertaintynn

Implementation and evaluation of different approaches to get uncertainty in neural networks