Alternatives and similar repositories for ComplexNetworks

Users that are interested in ComplexNetworks are comparing it to the libraries listed below

• senclimate / XRO
  XRO: Extended nonlinear Recharge Oscillator model
  ☆17Updated 2 months ago
• semvijverberg / RGCPD
  Climate analysis toolbox to investigate teleconnections, test for causality, and make forecasts.
  ☆33Updated 2 years ago
• georgemilosh / Climate-Learning
  How to predict extreme events in climate using rare event algorithms and modern tools of machine learning
  ☆22Updated last month
• nicrie / xmca
  Maximum Covariance Analysis in Python
  ☆55Updated last year
• William-gregory / OptimalInterpolation
  Combining ESA's CryoSat-2 and Sentinel-3 satellite altimeters to produce daily pan-Arctic radar freeboard estimates
  ☆13Updated 10 months ago
• 0xshipthecode / ndw-climate
  ☆15Updated 10 years ago
• scotthosking / baspy
  Making it far easier to read in and work with large volumes of climate model output from CMIP5/6
  ☆21Updated 4 years ago
• jklymak / Phy411
  Phy411 Time Series Analysis - University of Victoria
  ☆19Updated 8 years ago
• obidam / pyxpcm
  A Python implementation of Profile Classification Modelling (PCM) for xarray
  ☆23Updated last year
• NCAR / ai4ess-hackathon-2020-notebooks
  ☆14Updated 4 years ago
• Ambrosys / climatelearn
  El nino forecast based on a few machine learning methods
  ☆24Updated 8 years ago
• pik-copan / pycascades
  Python framework for simulating tipping cascades on complex networks
  ☆28Updated 7 months ago
• bradyrx / esmtools
  a toolbox for Earth System Model analysis
  ☆29Updated 3 years ago
• fdavenport / GRL2021
  Supporting code for Davenport and Diffenbaugh 2021
  ☆14Updated 2 years ago
• raybellwaves / xskillscore-tutorial
  ☆10Updated 4 years ago
• fzhu2e / cfr
  A Python package for Climate Field Reconstruction
  ☆18Updated last week
• raspstephan / Lorenz-Online
  Experiments demonstrating coupled online learning for machine learning parameterizations
  ☆21Updated 2 years ago
• peernow / CME_NCOMMS_2020
  Supplementary files and scripts for Nowack et al., Causal networks for climate model evaluation and constrained projections, Nature Commu…
  ☆19Updated 3 years ago
• VSainteuf / mcssa
  Python implementation of Monte Carlo Singular Spectrum Analysis for univariate time series.
  ☆42Updated 2 years ago
• frodre / pyLIM
  A python-based linear inverse modeling suite
  ☆30Updated 5 years ago
• leap-stc / LEAPCourse-Climate-Pred-Challenges
  A project-based learning course where teams of climate science and data science students collaborate to create machine learning predictiv…
  ☆39Updated last week
• karenamckinnon / observational_large_ensemble
  Python code to create the Observational Large Ensemble.
  ☆11Updated 2 years ago
• m2lines / L96_demo
  Lorenz 1996 two time-scale model for learning machine learning
  ☆51Updated 3 months ago
• eabarnes1010 / course_ml_ats
  machine learning for the atmospheric sciences - a CSU course
  ☆32Updated last year
• PrinceJavier / causal_ccm
  Package implementing Convergent Cross Mapping for causality inference in dynamical systems
  ☆46Updated last year
• CommonClimate / notebooks
  Jupyter notebooks for research and teaching
  ☆10Updated 3 years ago
• kuchaale / X-regression
  Multiple linear regression from Statsmodels library coupled with Xarray library
  ☆14Updated 5 years ago
• NOAA-PSL / Linear_Inverse_Modeling
  Scripts to build a linear inverse model (LIM) using Python.
  ☆16Updated 5 years ago
• JGCRI / fldgen
  Given a global mean temperature pathway, generate random global climate fields consistent with it and with spatial and temporal correlati…
  ☆14Updated 4 years ago
• drsteve / PyForecastTools
  Forecast Verification/Validation Tools in Python
  ☆34Updated last year