savinims / DATAS_Causal_DiscoveryLinks
Causal inference tutorials written as part of the Data Analysis Tools for Atmospheric Scientists (DATAS) Gateway.
☆9Updated 4 years ago
Alternatives and similar repositories for DATAS_Causal_Discovery
Users that are interested in DATAS_Causal_Discovery are comparing it to the libraries listed below
Sorting:
- ☆15Updated 11 years ago
- A python library for creating complex networks of geospatial time series data - here examples from HadISST sea surface temperature data☆14Updated 3 years ago
- Climate analysis toolbox to investigate teleconnections, test for causality, and make forecasts.☆33Updated 2 years ago
- Neural network loss functions for regression and classification tasks that can say "I don't know".☆13Updated 3 years ago
- ☆21Updated 6 months ago
- Dynamical linear modeling (DLM) regression code for analysis of atmospheric time-series data.☆25Updated 5 years ago
- Python framework for simulating tipping cascades on complex networks☆29Updated 8 months ago
- A user-friendly python package for computing and plotting machine learning explainability output.☆38Updated 9 months ago
- Package implementing Convergent Cross Mapping for causality inference in dynamical systems☆47Updated last year
- NinoLearn is a research framework for statistical ENSO prediction.☆10Updated 4 years ago
- How to predict extreme events in climate using rare event algorithms and modern tools of machine learning☆22Updated 3 months ago
- Supplementary files and scripts for Nowack et al., Causal networks for climate model evaluation and constrained projections, Nature Commu…☆19Updated 3 years ago
- ☆14Updated 4 years ago
- Tool using python and cdo to apply daily climate downscaling with BCSD.☆34Updated 3 years ago
- A project-based learning course where teams of climate science and data science students collaborate to create machine learning predictiv…☆39Updated last month
- Bayesian Model Averaging in python - currently only support for Cox PH models☆26Updated 8 years ago
- R&D Python package for processing ICON data with xarray☆10Updated last year
- Jupyter notebooks for research and teaching☆10Updated 3 years ago
- machine learning for the atmospheric sciences - a CSU course☆32Updated last year
- ☆10Updated 3 years ago
- SpaCE, the Spatial Confounding Environment, loads benchmark datasets for causal inference methods tackling spatial confounding☆17Updated 8 months ago
- El nino forecast based on a few machine learning methods☆24Updated 8 years ago
- A Causal Inference Framework for Environmental Data Analysis☆21Updated 3 years ago
- ☆18Updated this week
- Simple Moving Averages, Exponential Weighted Moving Averages, ETS (Error, Trend & Seasonality) Decomposition, ARIMA, and SARIMAX☆12Updated 7 years ago
- ☆38Updated 6 years ago
- Data access package for the SubseasonalClimateUSA dataset☆32Updated 7 months ago
- Code for paper "A Robust Generative Adversarial Network Approach for Climate Downscaling"☆11Updated 9 months ago
- A set of pre-processing codes, A deep convolutional neural net and post-processing codes for classifying turbulent climate patterns☆12Updated 6 years ago
- Two-stream remote sensing model for water quality mapping: 2SeaColor☆10Updated 4 years ago