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.

Acceleration of a classification model for thoracic diseases

YOLOv3: An Incremental Improvement

[CVPR 2017]YOLO9000: Better, Faster, Stronger

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

A Tiny Version of the Original ultralytics/yolov5

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…

demo for pytorch-distributed

Different template codes for Deep Learning with PyTorch.

Unofficial implementation for Sigmoid Loss for Language Image Pre-Training

Helmet Detector based on the CenterNet.

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.

Distributed training (multi-node) of a Transformer model

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

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