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 3 years ago
• kuchaale / X-regression
  Multiple linear regression from Statsmodels library coupled with Xarray library
  ☆14Updated 5 years ago
• JakeColtman / pyBMA
  Bayesian Model Averaging in python - currently only support for Cox PH models
  ☆26Updated 8 years ago
• raspstephan / Lorenz-Online
  Experiments demonstrating coupled online learning for machine learning parameterizations
  ☆21Updated 2 years ago
• 0xshipthecode / ndw-climate
  ☆15Updated 10 years ago
• paulo-o / forecast_rodeo
  ☆38Updated 5 years ago
• raybellwaves / xskillscore-tutorial
  ☆10Updated 4 years ago
• NCAR / ai4ess-hackathon-2020-notebooks
  ☆14Updated 4 years ago
• nicolasfauchereau / Auckland_Python_Workshop
  Python for Climate and Meteorological Data Analysis and Visualisation
  ☆21Updated 6 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
• pjpetersik / ninolearn
  NinoLearn is a research framework for statistical ENSO prediction.
  ☆10Updated 4 years ago
• Ambrosys / climatelearn
  El nino forecast based on a few machine learning methods
  ☆24Updated 8 years ago
• nicolasfauchereau / climate_data_analytics
  Material (Jupyter Notebooks) for the University of Otago Climate Data and Analytics Workshop (26 May 2022)
  ☆13Updated 2 years ago
• 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…
  ☆54Updated 7 years ago
• CLIMADA-project / climada_papers
  ☆33Updated last month
• yrobink / SBCK
  ☆24Updated last year
• braaannigan / climate_python_intro
  ☆10Updated 3 years ago
• fnardi / GFPLAIN
  Global FloodPLAIN mapping using a geomorphic algorithm
  ☆27Updated 5 years ago
• NCAR / GARD
  Generalized Analog Regression Downscaling (GARD) code
  ☆34Updated last year
• jmframe / mclstm_2021_extrapolate
  Code and models for the HESS paper on mass conservation and extrapolation with deep learning
  ☆13Updated 2 years ago
• CommonClimate / notebooks
  Jupyter notebooks for research and teaching
  ☆10Updated 3 years ago
• JamesSample / enviro_mod_notes
  Introductory notes on environmental modelling and statistics
  ☆16Updated last year
• UMD-AOSC / DA_Tutorial
  This is a 'hands-on' tutorial for the RIKEN International School on Data Assimilation (RISDA2018).
  ☆26Updated last year
• jgomezdans / gp_emulator
  Gaussian Process emulators in Python
  ☆18Updated 6 years ago
• jlbeidler / emisqa
  Python-based air emissions QA and reporting tool for CMAQ and CAMx model ready emissions inputs.
  ☆13Updated last year
• William-gregory / ComplexNetworks
  A python library for creating complex networks of geospatial time series data - here examples from HadISST sea surface temperature data
  ☆13Updated 3 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
• pckujawa / harmonic_analysis_of_time_series
  Harmonic analysis of time series in python
  ☆18Updated 10 years ago
• ml-clim / drought-prediction
  A Machine Learning Pipeline to Predict Vegetation Health
  ☆32Updated 5 years ago
• jnelson18 / pyquantrf
  Here is a [quantile random forest](http://jmlr.org/papers/v7/meinshausen06a.html) implementation that utilizes the [SciKitLearn](https://…
  ☆18Updated 4 months ago