sjliu68

sjliu68's Stars

• JuliaGaussianProcesses/TemporalGPs.jl

  Fast inference for Gaussian processes in problems involving time. Partly built on results from https://proceedings.mlr.press/v161/tebbutt21a.html

  Language:Julia1215

• patrick-kidger/diffrax

  Numerical differential equation solvers in JAX. Autodifferentiable and GPU-capable. https://docs.kidger.site/diffrax/

  Language:Python1.4k127

• patrick-kidger/torchcde

  Differentiable controlled differential equation solvers for PyTorch with GPU support and memory-efficient adjoint backpropagation.

  Language:Python41943

• notabee/differentiable-spline-curve

  Language:Jupyter Notebook21

• spatialstatisticsupna/Identifiability_Constraints_article

  R-INLA code to fit spatio-temporal CAR models described in Goicoa et al. (2018, SERRA)

  Language:R63

• yzhao062/pyod

  A Python Library for Outlier and Anomaly Detection, Integrating Classical and Deep Learning Techniques

  Language:Python8.6k1.4k

• GeostatsGuy/PythonNumericalDemos

  Well-documented Python demonstrations for spatial data analytics, geostatistical and machine learning to support my courses.

  Language:Jupyter Notebook1.4k492

• widedeepnetworks/widedeepnetworks

  Code for the paper Gaussian process behaviour in wide deep networks

  Language:Python4810

• developmentseed/titiler

  Build your own Raster dynamic map tile services

  Language:Python784163

• zhaokg/Rbeast

  Bayesian Change-Point Detection and Time Series Decomposition

  Language:C25339

• mrzool/cv-boilerplate

  Programmatic generation of high-quality CVs

  Language:TeX1.1k139

• mitmath/1806

  18.06 course at MIT

  Language:Jupyter Notebook2.5k683

• brendanhasz/probflow

  A Python package for building Bayesian models with TensorFlow or PyTorch

  Language:Python17017

• wwrechard/pydlm

  A python library for Bayesian time series modeling

  Language:Python47598

• google/CausalImpact

  An R package for causal inference in time series

  Language:R1.7k254

• wxwx1993/National_Causal

  Public Available Code to Conduct Analyses in "Evaluating the Impact of Long-term Exposure to Fine Particulate Matter on Mortality Among the Elderly."

  Language:R187

• microsoft/causica

  Language:Python44055

• Z-Zheng/ChangeStar

  Change is Everywhere: Single-Temporal Supervised Object Change Detection in Remote Sensing Imagery (ICCV 2021) https://arxiv.org/abs/2108.07002

  Language:Python16429

• gasparrini/2015_gasparrini_Lancet_Rcodedata

  Updated R code and data from Gasparrini Lancet 2015

  Language:R1513

• philiporlando/purpleair_thingspeak

  Language:R114

• ReagentX/purple_air_api

  Python package to get and transform PurpleAir data

  Language:Python5119

• guillermo-navas-palencia/optbinning

  Optimal binning: monotonic binning with constraints. Support batch & stream optimal binning. Scorecard modelling and counterfactual explanations.

  Language:Python453100

• bulik/ldsc

  LD Score Regression (LDSC)

  Language:Python643343

• causal-machine-learning/kdd2021-tutorial

  EconML/CausalML KDD 2021 Tutorial

  Language:Jupyter Notebook16230

• wowthemesnet/template-fooddelivery-bootstrap-html

  Free food delivery template built with Bootstrap & Gulp.

  Language:JavaScript3230

• pysal/mgwr

  Multiscale Geographically Weighted Regression (MGWR)

  Language:Jupyter Notebook366126

• NrgXnat/oasis-scripts

  Example download scripts for the OASIS3 project

  Language:Shell13245

• nipreps/smriprep

  Structural MRI PREProcessing (sMRIPrep) workflows for NIPreps (NeuroImaging PREProcessing tools)

  Language:Python13339

• nipreps/fmriprep

  fMRIPrep is a robust and easy-to-use pipeline for preprocessing of diverse fMRI data. The transparent workflow dispenses of manual intervention, thereby ensuring the reproducibility of the results.

  Language:HTML636294

• scikit-mobility/DeepLearning4HumanMobility

  13331