[ICLR 2020] "FasterSeg: Searching for Faster Real-time Semantic Segmentation" by Wuyang Chen, Xinyu Gong, Xianming Liu, Qian Zhang, Yuan Li, Zhangyang Wang

A DNN inference latency prediction toolkit for accurately modeling and predicting the latency on diverse edge devices.

Module and command-line tool to measure latency using TCP.

Loss & LAtency MAtrix

🐳 Digital Ocean regions latency checker

ROS Network Analysis Package: This is a ROS package that provide tools to analyze the wireless network such as the signal quality, latency, throughput, link utilization, connection rates, error metrics, etc., between two ROS nodes/computers/machines.

A simple standalone script to plot HdrHistograms directly from the output of wrk load testing tool

Use API caching in API Gateway to cache your responses. Reduce calls made to backend and improve latency of requests to your API

A network analysis and statistics aggregation tool

Utilities to perform deep learning models benchmarking (number of parameters, FLOPS and inference latency)

A tool to measure soundcard latency

This tool intents to help the network engineers (or anyone else) to analyze the path of the traffic via the Internet alayzing the tracroute collected with MTR against the information available in the public data sources.

Full conference version of PVT++: A Simple End-to-End Latency-Aware Visual Tracking Framework

This is a compiled Python script to increase your FPS and decrease your ping/latency in Minecraft and in general. Founded by @ItzzOwo, developer and current proprietor: @temal32.

a simple Grafana dashboard to monitor the health and latency of your Internet connection

A persistent monitor and aggregator of network statistics

This runs a network fping tests across multiple nodes and checks it against a KPI

A distributed system for latency-optimized service embedding in large-scale software defined networks

Implemented RNN with LSTM to predict queries for retrieving weather data from the ECMWF. The study investigated data pre-processing, hyperparameter tuning, model, architecture and training. The model achieved 91% accuracy. The work will significantly reduce large data fetching latency from tape systems which are slow unlike disk drives