krisrs1128

krisrs1128's Stars

• microsoft/torchgeo

  TorchGeo: datasets, samplers, transforms, and pre-trained models for geospatial data

  Language:Python3.1k54451379

• hszhao/semseg

  Semantic Segmentation in Pytorch

  Language:Python1.3k2184243

• p-lambda/wilds

  A machine learning benchmark of in-the-wild distribution shifts, with data loaders, evaluators, and default models.

  Language:Python5552055129

• immunogenomics/harmony

  Fast, sensitive and accurate integration of single-cell data with Harmony

  Language:R5362722698

• microsoft/satellite-imagery-labeling-tool

  This is a lightweight web-interface for creating and sharing vector annotations over satellite/aerial imagery scenes.

  Language:Jupyter Notebook267122331

• likyoo/Multimodal-Remote-Sensing-Toolkit

  A python tool to perform deep learning experiments on multimodal remote sensing data.

  Language:Python853512

• SUwonglab/PECA

  PECA is a software for inferring context specific gene regulatory network from paired gene expression and chromatin accessibility data

  Language:MATLAB425146

• JSB-UCLA/scDesign2

  An interpretable simulator that generates realistic single-cell gene expression count data with gene correlations recapitulated

  Language:HTML24154

• IGS/Chiron

  Tools and utilities for running Dockerized metagenomics tools in the Cloud

  Language:C++2318218

• vis4/eu-drought

  analysis of EDO soil moisture anomaly maps

  Language:HTML19105

• FEI38750/MTD

  MTD: a unique pipeline for host and meta-transcriptome joint and integrative analyses of RNA-seq data

  Language:R16288

• LuZhangstat/NNGP_STAN

  Nearest Neighbor Gaussian Processes (NNGP) based models is a family of highly scalable Gaussian processes based models. In brief, NNGP extends the Vecchia's approximation to a process using conditional independence given information from neighboring locations. In this case study, I will briefly review response and random-effects NNGP models, illustrate how to code NNGP in Stan, and provide examples of implementing NNGP based models in Stan.

  Language:HTML15312

• marklhc/usc-psyc621-notes

  Course Notes for PSYC 621 (Bayesian Data Analaysis, 2019 Fall)

  Language:HTML15212

• tyjo/clv

  Compositional Lotka-Volterra

  Language:Python15137

• lasy/alto

  'alto' is an R package that aligns topics from different LDA models, computes metrics for quantifying the goodness of alignment, and provides visualization functions to explore the alignment and robustness of topics across environments or LDA hyper-parameters.

  Language:R14343

• nardove/p5Kois

  Koi Fish Pond

  14117

• mcallaghan/regional-impacts-map

  Language:Jupyter Notebook13303

• Vivianstats/scDesign

  A statistical simulator for rational scRNA-seq experimental design

  Language:R11224

• SUwonglab/TimeReg

  time course regulatory analysis from paired gene expression and chromatin accessibility time course data

  Language:MATLAB10350

• IGS/OSDF

  Open Science Data Framework (OSDF)

  Language:JavaScript8502

• irenedelatorre/MIT-Design-Studio-Information-and-Visualization

  Repository for the class MIT Information Design and Visualization

  Language:JavaScript84028

• jhullman/uncertaintyVisEval

  Materials for IEEE TVCG (InfoVis 2018) publication: In Pursuit of Error: A Survey of Uncertainty Visualization Evaluation

  Language:HTML7201

• gerberlab/mctimme2

  Language:Python5432

• mkenn/GlacialLakeMC

  R scripts for Monte Carlo prediction intervals of glacial lake volume predicted by lake area

  Language:R44

• barakbri/CompositionalAnalysis_CodeBase

  Language:R3221

• FlukeAndFeather/rstickleback

  rstickleback automates behavioral event detection in bio-logging data. As an R interface to the stickleback machine learning pipeline (Python), it helps ecologists analyze their bio-logging data without having to learn a new programming language.

  Language:R32390

• fuxiangyi/311calls_d3

  Language:JavaScript2101

• PatrickLeBlanc/ReproduceLTNLDAPaper

  This repository contains the code to reproduce the numerical examples and data analysis in LeBlanc and Ma, as well as some saved output.

  Language:R2

• dustincys/msphy-SCNAClonal

  msphy-SCNAClonal, a SCNA's subclonal reconstruction algorithm based on multi-stage tree learning

  Language:Python1200

• Shamir-Lab/EMP

  EMpirical Pipeline for correcting GO terms obtained by network-based module discovery algorithms.

  Language:Python130