ecomodeller's Stars
rails/rails
Ruby on Rails
JuliaLang/julia
The Julia Programming Language
microsoft/onnxruntime
ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator
optuna/optuna
A hyperparameter optimization framework
xonsh/xonsh
:shell: Python-powered shell. Full-featured and cross-platform.
yzhao062/anomaly-detection-resources
Anomaly detection related books, papers, videos, and toolboxes
rob-med/awesome-TS-anomaly-detection
List of tools & datasets for anomaly detection on time-series data.
scikit-optimize/scikit-optimize
Sequential model-based optimization with a `scipy.optimize` interface
MakieOrg/Makie.jl
Interactive data visualizations and plotting in Julia
rasterio/rasterio
Rasterio reads and writes geospatial raster datasets
JuliaPlots/Plots.jl
Powerful convenience for Julia visualizations and data analysis
koaning/scikit-lego
Extra blocks for scikit-learn pipelines.
Toblerity/Fiona
Fiona reads and writes geographic data files
arundo/adtk
A Python toolkit for rule-based/unsupervised anomaly detection in time series
zillow/luminaire
Luminaire is a python package that provides ML driven solutions for monitoring time series data.
NetManAIOps/OmniAnomaly
KDD 2019: Robust Anomaly Detection for Multivariate Time Series through Stochastic Recurrent Neural Network
JuliaStats/GLM.jl
Generalized linear models in Julia
facebookresearch/LaMCTS
The release codes of LA-MCTS with its application to Neural Architecture Search.
ecmwf/cfgrib
A Python interface to map GRIB files to the NetCDF Common Data Model following the CF Convention using ecCodes
JuliaGeometry/Meshes.jl
Computational geometry in Julia
ecmwf/climetlab
Python package for easy access to weather and climate data
waico/SKAB
SKAB - Skoltech Anomaly Benchmark. Time-series data for evaluating Anomaly Detection algorithms.
pysal/spopt
Spatial Optimization
microsoft/MLOS
MLOS is a project to enable autotuning for systems.
WFRT/verif
Graphical tool for creating verification plots of weather forecasts
tonybaloney/ants-azure-demos
Collection of PoCs and Azure Demos
fastforwardlabs/deepad
Deep Learning for Anomaly Deteection
DHI/modelskill
Compare results from MIKE and other simulations with measurements
JohanvandeKoppel/Marine-Modelling-in-Python
Marine Modelling in Python - A NIOZ Course
ecomodeller/mikeio
Python methods for reading, writing and creating Dfs0, Dfs2, Dfs3, Dfsu, Mesh, xns11 and Res1D files.