hwunrow's Stars
chiphuyen/ml-interviews-book
https://huyenchip.com/ml-interviews-book/
JacksonBurns/astartes
Better Data Splits for Machine Learning
ihmeuw/ihme-modeling
GATHER compliant code for the GBD
google-research/swirl-dynamics
tapios/risk-networks
Code for risk networks: a blend of compartmental models, graphs, data assimilation and semi-supervised learning
AntonGroos/EnKF-AI
This repository contains Python implementaitions of ensemble Kalman Filters with adaptive covariance inflation.
cityofaustin/knackpy
A Python client for interacting with Knack applications
Python-Ensemble-Toolbox/PET
PET for data assimilation and optimization
geirev/EnKF_seir
EnKF_seir
kpzoo/EpiFilter
Optimised estimates of reproduction numbers over time, which extract more information from an incidence curve than many conventional approaches
academicpages/academicpages.github.io
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
fossasia/visdom
A flexible tool for creating, organizing, and sharing visualizations of live, rich data. Supports Torch and Numpy.
Knio/dominate
Dominate is a Python library for creating and manipulating HTML documents using an elegant DOM API. It allows you to write HTML pages in pure Python very concisely, which eliminate the need to learn another template language, and to take advantage of the more powerful features of Python.
ranery/Bayesian-CycleGAN
[TNNLS] Bayesian Cycle-Consistent Generative Adversarial Networks via Marginalizing Latent Sampling
blei-lab/deep-exponential-families
Deep exponential families (DEFs)
NCAR/DART
Data Assimilation Research Testbed
tensorflow/probability
Probabilistic reasoning and statistical analysis in TensorFlow
CSSEGISandData/COVID-19
Novel Coronavirus (COVID-19) Cases, provided by JHU CSSE
SafeGraphInc/safegraph_py
Python code for common, repeatable data wrangling and analysis of SafeGraph data
hildensia/bayesian_changepoint_detection
Methods to get the probability of a changepoint in a time series.
mandli/numerical-methods-pdes
Jupyter notebook class notes for Numerical Methods for PDEs
johnaparker/fplanck
Numerically solve the Fokker-Planck equation in N dimensions
bssw-psip/reposcanner
A compact repository data mining toolkit
OpenMined/PyDP
The Python Differential Privacy Library. Built on top of: https://github.com/google/differential-privacy
IBM/differential-privacy-library
Diffprivlib: The IBM Differential Privacy Library
google/differential-privacy
Google's differential privacy libraries.
vtraag/leidenalg
Implementation of the Leiden algorithm for various quality functions to be used with igraph in Python.
wweir827/CHAMP
hwunrow/amath584
Course projects from a graduate course in applied linear algebra And numerical analysis taken at the University of Washington
pydata/xarray
N-D labeled arrays and datasets in Python