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…

YOLOv3: An Incremental Improvement

[CVPR 2017]YOLO9000: Better, Faster, Stronger

Unofficial implementation of "TTNet: Real-time temporal and spatial video analysis of table tennis" (CVPR 2020)

Distributed training (multi-node) of a Transformer model

Acceleration of a classification model for thoracic diseases

Unofficial implementation for Sigmoid Loss for Language Image Pre-Training

A Tiny Version of the Original ultralytics/yolov5

[CVPR 2016]You Only Look Once: Unified, Real-Time Object Detection

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.

Different template codes for Deep Learning with PyTorch.

demo for pytorch-distributed

Helmet Detector based on the CenterNet.

Code for Active Learning at The ImageNet Scale. This repository implements many popular active learning algorithms and allows training with torch's DDP.

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.