GitHub
linnaea
Linnaea was developed to provide researchers an easy-to-use tool to systematically classify vegetation in high-resolution field photos.
segrefiner_mmengine
clone自https://github.com/MengyuWang826/SegRefiner 由于最新的mmsegmentation使用了mmengine等新库，所以修改了一下；并且在SegRefiner模块里增加forward_dummy来支持get_flops.py的运行
eh_wavelet
Data and code accompanying the manuscript, "Terrestrial groundwater table mediates redox potential of salt marsh sediments," submitted for publication in Geophysical Research Letters.
ebisim
ebisim - a Python package for simulating the charge state distribution evolution in an EBIS/EBIT
skyrmion-size-analyzer
A matlab script to analyse MOKE and simulation images of magnetic skyrmions.
windrose
Custom Hardware , Firmware and Software for Robotic Cellular Automata Experiments
bcsa
The bcsa package provide datasets for source apportionment of light absorbing carbon (LAC) in Blantyre, Malawi. The package contains data on Absorption Angstrom Exponent experiments determination of local pollution sources. The package also contains data on spatial distribution and ambient concentrations of LAC concentrations.
selectionandmigration
Scripts for understanding the impacts of selection on methods for inferring migration.
magplots
A python library to pull data and make plots from ground magnetometers. Emphasis on plots for comparing magnetometers at conjugate points.
quantum-vuln-analysis
Repository for accompanying paper on quantum vulnerability analysis
bw-superstructure
allows prospective LCA calculations for scenarios using the superstructure and scenario-difference-file approach of the activity-browser and brightway2
lagrangian-convolutional-neural-network
Source code for "Advection-free Convolutional Neural Network for Convective Rainfall Nowcasting" by Ritvanen et al. (2023)
htebayes
code for the paper: "Confounder-Dependent Bayesian Mixture Model: Characterizing Heterogeneity of Causal Effects in Air Pollution Epidemiology" by D. Zorzetto, F.J. Bargagli-Stoffi, A. Canale, and F. Dominici, _Biometrics_, Volume 80, Issue 2, 2024.
opmd
AI-assisted screening of oral potentially malignant disorders using smartphone-based photographic images.
BridgeDiffEq
A thin wrapper over Bridge.jl for the SciML scientific machine learning common interface, enabling new methods for neural stochastic differential equations (neural SDEs)
source-data
Repo for ingesting source data into the InTaVia Knowledge Graph (IKG)
zeek_anomaly_detector
A completely automated anomaly detector Zeek network flows files (conn.log).
mognet
Mognet is a fast, simple framework to build distributed applications using task queues.
slil
Street Level Imagery Labeler - SLIL - Used to help in the task of labelling images for classification
quantization
A curated list of quantization resources for network compression and acceleration.
zet-compass
Calculates the best moment to invest in zero emission transport and charging infrastructure for your company.
jupyterlite-sharing-models
A repository to demonstrate sharing Python computational models using JupyterLite and WASM
landsat-lai
Employing a data-driven approach to generate Leaf Area Index (LAI) maps from Landsat images over CONUS
re-facto
A Github application that analyzes your commits, refactors the code using LLMs and raise a pull requests for the refactored code
pigweb_cross-institutes
Data and code for the manuscript "Teaming up for pig welfare..."
ccvm-simulators
Solve continuous non-convex optimization problems with Coherent Continous-Variable Machine (CCVM) architectures and solvers
pmv-si-2024-1-pe6-t2-g5-gestao-de-clinicas-medicas
pmv-si-2024-1-pe6-t2-g5-gestao-de-clinicas-medicas created by GitHub Classroom
temporalcontext-bayesdl
Enhancing Time-Series Prediction with Temporal Context Modeling: A Bayesian and Deep Learning Synergy
abstract-machine
A haskell implementation of a resource aware abstract machine for a small subset of jsx.
make_github_webpage
Material for the MGSA workshop on creating webpages with Rmd + GitHub
fine-tuned-yolo
This repository is forked from yolov5. The original model is here fine-tuned on a drone detection dataset from kaggle.com
