Alternatives and similar repositories for dlmmc:

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

• kikocorreoso / scikit-extremes
  scikit-extremes is a basic statistical package to perform univariate extreme value calculations using Python
  ☆43Updated 2 years ago
• kuchaale / X-regression
  Multiple linear regression from Statsmodels library coupled with Xarray library
  ☆14Updated 5 years ago
• 0xshipthecode / ndw-climate
  ☆15Updated 10 years ago
• raybellwaves / xskillscore-tutorial
  ☆10Updated 3 years ago
• JakeColtman / pyBMA
  Bayesian Model Averaging in python - currently only support for Cox PH models
  ☆26Updated 8 years ago
• nicolasfauchereau / Auckland_Python_Workshop
  Python for Climate and Meteorological Data Analysis and Visualisation
  ☆21Updated 6 years ago
• Ambrosys / climatelearn
  El nino forecast based on a few machine learning methods
  ☆24Updated 8 years ago
• jlbeidler / emisqa
  Python-based air emissions QA and reporting tool for CMAQ and CAMx model ready emissions inputs.
  ☆13Updated last year
• CLIMADA-project / climada_papers
  ☆33Updated 2 weeks ago
• braaannigan / climate_python_intro
  ☆10Updated 3 years ago
• raspstephan / Lorenz-Online
  Experiments demonstrating coupled online learning for machine learning parameterizations
  ☆20Updated last year
• paulo-o / forecast_rodeo
  ☆38Updated 5 years ago
• CommonClimate / notebooks
  Jupyter notebooks for research and teaching
  ☆10Updated 3 years ago
• pjpetersik / ninolearn
  NinoLearn is a research framework for statistical ENSO prediction.
  ☆10Updated 4 years ago
• paulaharder / constrained-downscaling
  A project on how to incorporate physics constraints into deep learning architectures for downscaling or other super--resolution tasks.
  ☆12Updated last year
• royalosyin / A-Beginner-Guide-to-Carry-out-Extreme-Value-Analysis-with-Codes-in-Python
  A beginner's guide to carry out extreme value analysis, which consists of basic steps, multiple distribution fitting, confidential interv…
  ☆53Updated 7 years ago
• FrontierDevelopmentLab / CUMULO
  a benchmark dataset for training and evaluating global cloud classification models.
  ☆29Updated 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
• International-BMP-Database / wqio
  💧 Water quality analysis
  ☆22Updated 2 months ago
• NCAR / ai4ess-hackathon-2020-notebooks
  ☆14Updated 4 years ago
• eabarnes1010 / controlled_abstention_networks
  Neural network loss functions for regression and classification tasks that can say "I don't know".
  ☆13Updated 3 years ago
• hendersontrent / feature-set-comp
  Compares various time-series feature sets on computational performance, within-set structure, and between-set relationships.
  ☆11Updated 2 years ago
• jdherman / ptreeopt
  Policy tree optimization: Heuristic policy search for control of dynamic systems. Uses genetic programming to develop binary trees relati…
  ☆32Updated 3 years ago
• NCAR / GARD
  Generalized Analog Regression Downscaling (GARD) code
  ☆33Updated last year
• georgemilosh / Climate-Learning
  How to predict extreme events in climate using rare event algorithms and modern tools of machine learning
  ☆20Updated last month
• pastas / metran
  Multivariate timeseries analysis using dynamic factor modelling.
  ☆21Updated last year
• DOI-BOR / PyForecast
  PyForecast is a statistical modeling tool used by Reclamation water managers and reservoir operators to train and build predictive models…
  ☆28Updated last year
• envhyf / hfs
  Batch processing for HYSPLIT and FLEXPART
  ☆8Updated 9 years ago
• ciceroOslo / ciceroscm
  Python version of the CICERO-SCM simple climate model/emulator
  ☆21Updated this week
• fnardi / GFPLAIN
  Global FloodPLAIN mapping using a geomorphic algorithm
  ☆27Updated 5 years ago