To run phi learning on linear gaussian (Fig1a)
python linear_gaussian_phi_learning.py
To run phi and theta learning on linear gaussian (Fig1b)
python linear_gaussian_model_learning.py
To run CTRNN experiment
python CTRNN_run_with_hydra.py
To run sequential VAE experiment
python dmlab.py
- pytorch
- hydra (for hyperparameter config) https://github.com/facebookresearch/hydra
- scipy
- tqdm
FastCover: A Self-Supervised Learning Framework for Multi-Hop Influence Maximization in Social Networks by Anonymous.
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使用YOLOv5+Deepsort实现车辆行人追踪和计数，代码封装成一个Detector类，更容易嵌入到自己的项目中。
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