nonmean Goto Github PK

altacv

Yet another alternative curriculum vitae/résumé class with LaTeX

applied_data_science_capstone

Coursera IBM applied data science capstone project

awesome-data

Show most interesting data-source around the financial world

bewerbung

Latex Bewerbungsvorlage

causal-learn

Python translation (and extension) of the Tetrad java code.

datatableton

100 datatable exercises

fastpages

An easy to use blogging platform, with enhanced support for Jupyter Notebooks.

finufft

Non-uniform fast Fourier transform library of types 1,2,3 in dimensions 1,2,3

fost

FOST is a general forecasting tool, which demonstrate our experience and advanced technology in practical forecasting domains, including temporal, spatial-temporal and hierarchical forecasting. Current general forecasting tools (Gluon-TS by amazon, Prophet by facebook etc.) can not process and model structural graph data, especially in spatial domains, also those tools suffer from tradeoff between usability and accuracy. To address these challenges, we design and develop FOST and aims to empower engineers and data scientists to build high-accuracy and easy-usability forecasting tools.

geostats.jl

An extensible framework for high-performance geostatistics in Julia

github-final-project

gpages

guestbook

guestbook

hydrosight

A flexible statistical toolbox for deriving quantitative insights from groundwater data.

ibm-cc201

CC201, Courese IBM kubernetes

interactive-gp-visualization

Interactive visualization of Gaussian processes

iot-for-beginners

12 Weeks, 24 Lessons, IoT for All!

jbbmo-introduction-to-git-and-github

Introduction to Git and GitHub

job-application-helper

lab-agile-planning

macest

Model Agnostic Confidence Estimator (MACEST) - A Python library for calibrating Machine Learning models' confidence scores

machine-learning-interview

Machine Learning Interviews from FAANG, Snapchat, LinkedIn. I have offers from Snapchat, Coupang, Stitchfix etc. Blog: mlengineer.io.

merlion

Merlion: A Machine Learning Framework for Time Series Intelligence

modeling-uncertainty-in-the-earth-sciences

teaching material for the book "Modeling Uncertainty in the Earth Sciences", Jef Caers, 2011.

neuralhydrology

Python library to train neural networks with a strong focus on hydrological applications.

nonmean

numpy-ml

Machine learning, in numpy

openturns

Uncertainty treatment library

pymoo

NSGA2, NSGA3, R-NSGA3, MOEAD, Genetic Algorithms (GA), Differential Evolution (DE), CMAES, PSO

reactive-resume

A one-of-a-kind resume builder that keeps your privacy in mind. Completely secure, customizable, portable, open-source and free forever. Try it out today!