Pure Python extensions library that includes Scala-like streams, Json with attribute access syntax, and other common use stuff

Multi cloud control of VM Instances across AWS, Azure, GCP and AliCloud - unified instance management

examples of parallelism, concurrency, and asyncio in python

GeventMP - Gevent Multiprocessing Extension

This repository publishes notebooks created as part of an analysis of the 2020 COVID-19 crisis onto the economy, performed by a team of data scientists from IBM and Rolls-Royce for Emergent Alliance.

Iterable Java8 style Streams for Python

Python multiprocessing example with camera capture

Feniks iNVR FFmpeg Service

Implementation for computing the Minimum Spanning Tree using GHS Algorithm in a distributed fashion

A simple process or thread manager for python

OCR reading assistant with opencv, Tesseract, kraken, DAWGs and a splay tree

we learn multi-threading on python with code

learning about multithreading and multiprocessing in Python

Bulk remove OneSignal subscribed users blazingly faster with parallel processing.

A simple microservices project in Python to calculate an average in a distributed way, demonstrating observability with OpenTelemetry and Jaeger.

Big Data project for ATS subject, basic parallel implementation of map-reduce paradigm with a test to count words in text files

Multiprocessing can be an effective way to speed up a time-consuming workflow via parallelization. This article illustrates how multiprocessing can be utilized in a concise way when implementing MapReduce-like workflows.

Feniks iNVR Snapshot Service

Simply a creator for image datasets.

This project tries fitting a curve using regression. It derives formulas from the linear model and each thread fit the data using a different formula. The formula with the smallest error function is used as visualization.

ATBU multiprocessing pipeline and global logging.

Feniks iNVR DeepStack Service

common multiprocess model for python

A persistive OpenCV Stream Reader, suitable for IoT devices

Concurrent implementation of image convolution filter using Python's multiprocessing

An advanced, inter-frame video compression suite featuring AI-accelerated Block Motion Estimation, Bi-Directional B-Frames, and a PyTorch-based Neural Super-Resolution (ESPCN) upscaler. Achieves extreme compression ratios (up to 213x) while maintaining visual fidelity using Perceptual Rate-Distortion Optimization (SSIM-based).

Модуль 3. Багатопоточність і процеси у Python

Python template code for multiprocessing and parallel programming