copro
Conflict predictor
Develops machine-learning models to predict conflict risk from climate and environmental factors.
(ML) model for computing conflict risk from climate, environmental, and societal drivers.
7 stars
2 watching
0 forks
Language: Jupyter Notebook
last commit: 2 months ago
Linked from 1 awesome list
climateconflictenvironmentprojectionrisksecurity
protontypes/open-sustainable-technologyRelated projects:
| Repository | Description | Stars |
|---|---|---|
 ecmwfcode4earth/ml_drought | Develops machine learning models to predict and understand drought using climate science data | 93 |
 mrgemy95/visual-interaction-networks-pytorch | An implementation of Deepmind's Visual Interaction Networks using PyTorch to predict future events in physical scenes. | 166 |
 microprediction/timemachines | Provides a simple and unified interface to various univariate time-series prediction algorithms | 413 |
 pcmdi/cmor | Tools and utilities to process climate model output data from CMIP6 experiments. | 54 |
 envirometrix/landmap | Develops methods for automated spatial prediction and interpolation using Ensemble Machine Learning. | 48 |
 jvalegre/robert | Automated machine learning protocols for cheminformatics using Python | 39 |
 scicloj/scicloj.ml.clj-djl | Provides pre-trained machine learning models for natural language processing tasks using Clojure and the clj-djl framework. | 0 |
 denissimon/prediction-builder-swift | A linear regression library for building predictions in machine learning | 12 |
 mila-iqia/climate-cooperation-competition | A competition framework to model global climate cooperation through simulation and agent-based modeling | 38 |
 billdthompson/cogsci-auto-norm | Automatically generates concreteness estimates for languages using pre-trained semantic models and linear regression | 0 |
 muhaochen/seq_ppi | A deep learning framework for predicting protein-protein interactions based on sequence data | 89 |
 escomp/cmeps | Tools and components for coupling Earth system models in climate prediction systems. | 24 |
 nvidia/earth2mip | An AI framework for comparing and evaluating weather and climate models | 210 |
 imatge-upc/saliency-2016-cvpr | This project proposes a solution to predict salient areas in images using convolutional neural networks. | 186 |
 zmlabe/icevarfigs | Tools and scripts for analyzing climate data and producing visualizations | 82 |