Rerun 0.20 adds early support for geospatial data with the new GeoPoints and GeoLineStrings archetypes and a new map view. It also adds H.264 support to the native viewer together with many performance and stability improvements for video in Rerun..

EuroRust is the conference for the European Rust community. Two full conference days and two days of fun side activities, workshops, hackathons and exploring Barcelona. We cover all things Rust: from Rust patterns and idioms to systems programming and CLI…

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Rust has garnered significant attention in the programming world for its focus on memory safety without the need for a garbage collector, making it an appealing option for systems programming, where safety and performance are both critical. By preventing…

A deep dive into how a fully remote, open source-first, tech company is building a challenger social media platform. What can small teams learn from Bluesky about punching above your weight?

Official repository for the paper "NeuZip: Memory-Efficient Training and Inference with Dynamic Compression of Neural Networks". This repository contains the code for the experime...

Recent works have shown a surprising result: a small fraction of Large Language Model (LLM) parameter outliers are disproportionately important to the quality of the model. LLMs contain billions...

Beautiful ridgeline plots in Python. Contribute to tpvasconcelos/ridgeplot development by creating an account on GitHub.

A high performance caching library for Python written in Rust - deliro/moka-py

An open-source monitoring system with a dimensional data model, flexible query language, efficient time series database and modern alerting approach.

«По существу, чтобы глубоко оценить творение того, что мы называем гением, нужно самому обладать гениальностью, необходимой для такого свершения.» - Эдгар По ----…

Fascinated by cars since childhood, Brazilian racer Ayrton Senna became a sports legend — until tragedy struck, changing Formula 1 forever.

OMP4Py: a native Python implementation of OpenMP. Contribute to citiususc/omp4py development by creating an account on GitHub.