GitHub
metage2metabo
From annotated genomes to metabolic screening in large scale microbiotas
snpsea
:bar_chart: Identify cell types and pathways affected by genetic risk loci.
most
MOST – MATPOWER Optimal Scheduling Tool, for steady-state power systems scheduling problems.
covid-19_7-tage-inzidenz_in_deutschland
Im Datensatz '7-Tage-Inzidenz von COVID-19 in Deutschland' werden die aktuellen 7-Tage-Inzidenzen der nach den Vorgaben des Infektionsschutzgesetzes - IfSG - an das RKI übermittelten COVID-19-Fälle veröffentlicht. Datengrundlage zur Berechnung der 7-Tage-Inzidenzen sind die an das RKI übermittelten COVID-19-Fälle. Eine detaillierte Dokumentation...
shinyssd v1.0
shinyssd v1.0: Species Sensitivity Distributions for Ecotoxicological Risk Assessment - Published in JOSS (2019)
muscle3
The third major version of the MUltiScale Coupling Library and Environment
carma
Converters between Armadillo matrices (C++) and Numpy arrays using Pybind11
rl4co
A PyTorch library for all things Reinforcement Learning (RL) for Combinatorial Optimization (CO)
https://github.com/cbg-ethz/v-pipe-scout
Rapid Viral Variant Exploration and Detection - Interactive WebApp
70-years-of-machine-learning-in-geoscience-in-review
Code to recreate the tutorial and figures in the book chapter.
plutus
plutus: An R package to calculate electricity investments and stranded assets from the Global Change Analysis Model (GCAM) - Published in JOSS (2021)
gnn-pressure-estimation
DiTEC research
DiffEqFlux
Pre-built implicit layer architectures with O(1) backprop, GPUs, and stiff+non-stiff DE solvers, demonstrating scientific machine learning (SciML) and physics-informed machine learning methods
typst
A new markup-based typesetting system that is powerful and easy to learn.
easyfsl
Ready-to-use code and tutorial notebooks to boost your way into few-shot learning for image classification.
yggdrasil-decision-forests
A library to train, evaluate, interpret, and productionize decision forest models such as Random Forest and Gradient Boosted Decision Trees.
DifferentialEquations
Multi-language suite for high-performance solvers of differential equations and scientific machine learning (SciML) components. Ordinary differential equations (ODEs), stochastic differential equations (SDEs), delay differential equations (DDEs), differential-algebraic equations (DAEs), and more in Julia.
last-mile-routing-analyzer
lmr-analyzer: A powerful toolkit to analyze the interaction between last mile operations and the street network design.
recotox
REcoTox is a semi-automated, interactive R workflow to process US EPA ECOTOX Knowledgebase entire database ASCII files
https://github.com/changliao1025/pyearth
A leatherman alike Python package for Earth science
thapbi-pict
Tree Health and Plant Biosecurity Initiative - Phytophthora ITS1 Classifier Tool
deepsearch-toolkit
Interact with the Deep Search platform for new knowledge explorations and discoveries
rliable
[NeurIPS'21 Outstanding Paper] Library for reliable evaluation on RL and ML benchmarks, even with only a handful of seeds.
immuneml
immuneML is a platform for machine learning analysis of adaptive immune receptor repertoire data.
cromp
The official implementation of CROMP (Constrained Regression with Ordered and Margin-sensitive Parameters) along with experimental test pipeline
prompt-engineering-guide
🐙 Guides, papers, lecture, notebooks and resources for prompt engineering
hmmtmb
Fit hidden Markov models using Template Model Builder (TMB): flexible state-dependent distributions, transition probability structures, random effects, and smoothing splines.
openpathsampling
An open source Python framework for transition interface and path sampling calculations.
aspect
A parallel, extensible finite element code to simulate convection in both 2D and 3D models.
cavaanalytics
CAVAanalytics is a comprehensive framework for climate data analysis, offering streamlined access to data, advanced processing and visualization capabilities. It is designed to support a wide range of climate research and user needs
tumoroscope-pymc
Python package of the 'Tumoroscope' model implemented in PyMC.
https://github.com/sparks-baird/self-driving-lab-demo
Software and instructions for setting up and running a self-driving lab (autonomous experimentation) demo using dimmable RGB LEDs, an 8-channel spectrophotometer, a microcontroller, and an adaptive design algorithm, as well as extensions to liquid- and solid-based color matching demos.
PySPOD
PySPOD: A Python package for Spectral Proper Orthogonal Decomposition (SPOD) - Published in JOSS (2021)
numerical_methods_introduction
A set of Jupyter Notebooks demonstrating various numerical methods in Python.
leaflet-providersesp
An extension to Leaflet that contains configurations for various free WMS (Web Map Service) and WMTS (Web Map Tile Service) providers of Spain (IDErioja, PNOA, IGN base, Catastro, etc), from Spanish mapping agencies.
imitation
Clean PyTorch implementations of imitation and reward learning algorithms
ucall
Web Serving and Remote Procedure Calls at 50x lower latency and 70x higher bandwidth than FastAPI, implementing JSON-RPC & REST over io_uring ☎️
multiscale_spatial_image
Generate a multiscale, chunked, multi-dimensional spatial image data structure that can serialized to OME-NGFF.
scatterd
Scatterd is a Python package for easy and fast creation of beautiful scatter plots.
myfempy
Myfempy is a python package based on finite element method to multiphysics analysis.
quantumaudio
Tools, circuits, examples & applications of Quantum Representations of Audio in qubit systems
teeplot
organize data visualization output, automatically picking meaningful names based on semantic plotting variables
structuralcoexistence
Shiny app to explore structural approach to species coexistence
DiffEqNoiseProcess
A library of noise processes for stochastic systems like stochastic differential equations (SDEs) and other systems that are present in scientific machine learning (SciML)
https://github.com/arklumpus/treenode
Read, write and manipulate phylogenetic trees
alz-predict-roivsnonroi
Deep learning pipeline for efficiently predict Alzheimer's Disease from ADNI & OASIS