Alternatives and similar repositories for ComplexNetworks:

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

• 0xshipthecode / ndw-climate
  ☆15Updated 10 years ago
• pik-copan / pycascades
  Python framework for simulating tipping cascades on complex networks
  ☆27Updated 5 months 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
• Ambrosys / climatelearn
  El nino forecast based on a few machine learning methods
  ☆24Updated 8 years ago
• senclimate / XRO
  XRO: Extended nonlinear Recharge Oscillator model
  ☆15Updated 2 weeks ago
• georgemilosh / Climate-Learning
  How to predict extreme events in climate using rare event algorithms and modern tools of machine learning
  ☆20Updated last month
• PrinceJavier / causal_ccm
  Package implementing Convergent Cross Mapping for causality inference in dynamical systems
  ☆46Updated last year
• William-gregory / OptimalInterpolation
  Combining ESA's CryoSat-2 and Sentinel-3 satellite altimeters to produce daily pan-Arctic radar freeboard estimates
  ☆12Updated 8 months ago
• semvijverberg / RGCPD
  Climate analysis toolbox to investigate teleconnections, test for causality, and make forecasts.
  ☆33Updated 2 years ago
• NCAR / ai4ess-hackathon-2020-notebooks
  ☆14Updated 4 years ago
• VSainteuf / mcssa
  Python implementation of Monte Carlo Singular Spectrum Analysis for univariate time series.
  ☆41Updated 2 years ago
• savinims / DATAS_Causal_Discovery
  Causal inference tutorials written as part of the Data Analysis Tools for Atmospheric Scientists (DATAS) Gateway.
  ☆9Updated 3 years ago
• leobix / hurricast
  ☆19Updated 3 months ago
• felix-laumann / SDG-networks
  Finding nonlinear relationships between the Sustainable Development Goals and climate change with partial distance correlations
  ☆13Updated last year
• raybellwaves / xskillscore-tutorial
  ☆10Updated 3 years ago
• salvaRC / Graphino
  Code associated with the paper "The World as a Graph: Improving El Niño Forecasting with Graph Neural Networks".
  ☆33Updated 2 years ago
• jajcayn / pyclits
  Python Climate Time Series package
  ☆10Updated 2 years ago
• nicrie / xmca
  Maximum Covariance Analysis in Python
  ☆55Updated last year
• kuchaale / X-regression
  Multiple linear regression from Statsmodels library coupled with Xarray library
  ☆14Updated 5 years ago
• fdavenport / GRL2021
  Supporting code for Davenport and Diffenbaugh 2021
  ☆14Updated 2 years ago
• kikocorreoso / scikit-extremes
  scikit-extremes is a basic statistical package to perform univariate extreme value calculations using Python
  ☆43Updated 2 years ago
• jajcayn / pygpso
  Gaussian-Processes Surrogate Optimisation in python
  ☆19Updated 3 years ago
• justinalsing / dlmmc
  Dynamical linear modeling (DLM) regression code for analysis of atmospheric time-series data.
  ☆23Updated 4 years ago
• eabarnes1010 / course_ml_ats
  machine learning for the atmospheric sciences - a CSU course
  ☆32Updated last year
• nicolasfauchereau / climate_data_analytics
  Material (Jupyter Notebooks) for the University of Otago Climate Data and Analytics Workshop (26 May 2022)
  ☆13Updated 2 years ago
• raspstephan / Lorenz-Online
  Experiments demonstrating coupled online learning for machine learning parameterizations
  ☆21Updated 2 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 month
• mintproject / droughtIndices
  Model to calculate various drought indices from precipitation/temperature data
  ☆13Updated 4 years ago
• JakeColtman / pyBMA
  Bayesian Model Averaging in python - currently only support for Cox PH models
  ☆26Updated 8 years ago
• CLIMADA-project / climada_papers
  ☆33Updated 2 weeks ago