MLOS is a Data Science powered infrastructure and methodology to democratize and automate Performance Engineering. MLOS enables continuous, instance-based, robust, and trackable systems optimization.
Обновлено 2024-11-20 03:54:49 +03:00
Keep your email safe from hackers and trackers. Make an email alias with 1 click, and keep your address to yourself.
Обновлено 2024-11-18 19:01:36 +03:00
The Linux Commit Analyzer tracks patches from upstream and downstream kernels.
Обновлено 2024-09-13 03:37:33 +03:00
This project provides an official implementation of our recent work on real-time multi-object tracking in videos. The previous works conduct object detection and tracking with two separate models so they are very slow. In contrast, we propose a one-stage solution which does detection and tracking with a single network by elegantly solving the alignment problem. The resulting approach achieves groundbreaking results in terms of both accuracy and speed: (1) it ranks first among all the trackers on the MOT challenges; (2) it is significantly faster than the previous state-of-the-arts. In addition, it scales gracefully to handle a large number of objects.
Обновлено 2023-10-04 00:42:58 +03:00
Website for the TREC Deep Learning Track 2019
Обновлено 2023-06-12 21:21:58 +03:00
The project is an official implement of our ECCV2018 paper "Simple Baselines for Human Pose Estimation and Tracking(https://arxiv.org/abs/1804.06208)"
Обновлено 2022-11-28 22:11:04 +03:00
Deep Learning Based Real-Time Tracking
Обновлено 2022-11-28 22:10:32 +03:00
Обновлено 2022-03-23 23:45:33 +03:00
tempeh is a framework to TEst Machine learning PErformance exHaustively which includes tracking memory usage and run time.
Обновлено 2022-01-04 00:15:32 +03:00
Flask server that powers and endpoint for reporting private tracking protection issues.
Обновлено 2021-05-31 05:28:37 +03:00
A collection of tools for working with and analyzing Tracking Protection as implemented in Firefox
Обновлено 2020-12-04 19:20:25 +03:00
Azure Function to track your GitHub traffic
Обновлено 2020-09-09 02:59:41 +03:00
Scripts for updating fission mochitest spreadsheets
Обновлено 2020-08-07 16:33:17 +03:00
PySiamTracking project provides a flexible and effective framework that supports mainstream siamese-network-based trackers.
Обновлено 2020-04-06 07:49:52 +03:00
This is the implementation of CVPR'19 paper "SPM-Tracker: Series-Parallel Matching for Real-Time Visual Object Tracking"
Обновлено 2019-08-30 11:13:05 +03:00
Code to generate the Reddit corpus for the DSTC 8 competition Multi-Domain End-to-End Track, Fast Adaptation Task
Обновлено 2019-08-26 17:00:17 +03:00