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A simple API to launch Python functions to run on multiple ranked processes, mpify is designed to enable interactive multiprocessing experiments in Jupyter/IPython, such as distributed data parallel training over multiple GPUs.
Code for Active Learning at The ImageNet Scale. This repository implements many popular active learning algorithms and allows training with torch's DDP.
This repository is intended to be a template for starting new projects with PyTorch, in which deep learning models are trained and evaluated on medical imaging data.
This is a simulator for access strategies for distributed caching. The simulator considers a user who is equipped by several caches, and receives from them periodical updates about the cached content. The problem and algorithms implemented here are detailed in the paper: I. Cohen, G. Einziger, R. Friedman, and G. Scalosub, “Access Strategies for…