Anticipating Escalation: Actionable Insights with Actor-Embeddings and Transformers in Conflict Forecasting
Formerly known as "From Headlines to Hotspots: Mapping Violent Conflict with Deep Learning and News Text". Maybe the title will change back and maybe it will be something else... We'll see.
Project description to come.
|-README.md # The file you are reading
|-requirements.txt #
|-log.txt # Log of what have been tried, and some todo
|-data
| |-raw # Raw data files, e.g. tabular data from viewser
| |-processed # Processed data, e.g. tensor transformations of the viewser data
| |-generated # Generated data, e.g. posterior distributions of forecasts and metrics
|
|-models # Trained models
|-notebooks # Jupyter notebooks for development
|-reports # Reports, figures, plots, outputsummeries
| |-plots # Plots and figures
| |-timelapse # Timeslapse of conflict developments
|
|-src # Sources code for ConflictNet
|-dataloaders # Scripts to get data and transform it
|-networks # Pytorch network scripts
|-utils # General functions
|-configs # configuration files for hyperparameters and WandB
|-training # Traing and validation scripts
|-evaulaiton # Test and evaluation scripts
|-visualization # Scripts to generate plots, figures and timelapse
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