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YOLOX is a high-performance anchor-free YOLO, exceeding yolov3~v5 with MegEngine, ONNX, TensorRT, ncnn, and OpenVINO supported. Documentation: https://yolox.readthedocs.io/

  • yolox
  • yolov3
  • onnx
  • tensorrt

Blazor Component Library based on Material Design principles. Do more with Blazor, utilizing CSS and keeping JavaScript to a bare minimum.

  • blazor
  • material
  • wasm
  • blazor-components

History.js gracefully supports the HTML5 History/State APIs (pushState, replaceState, onPopState) in all browsers. Including continued support for data, titles, replaceState. Supports jQuery, MooTools and Prototype. For HTML5 browsers this means that you can modify the URL directly, without needing to use hashes anymore. For HTML4 browsers it will revert back to using the old onhashchange functionality.

  • html5-history-api
  • html5-history
  • javascript
  • polyfill

fq - jq for binary formats. Tool, language and decoders for working with binary formats.

  • jq
  • binary
  • hexdump
  • go

A Kubernetes controller to watch changes in ConfigMap and Secrets and do rolling upgrades on Pods with their associated Deployment, StatefulSet, DaemonSet and DeploymentConfig – [✩Star] if you're using it!

This is a Next.js, Tailwind CSS blogging starter template. Comes out of the box configured with the latest technologies to make technical writing a breeze. Easily configurable and customizable. Perfect as a replacement to existing Jekyll and Hugo individual blogs.

  • nextjs
  • tailwind-css
  • mdx
  • demo-blog

Activiti is a light-weight workflow and Business Process Management (BPM) Platform targeted at business people, developers and system admins. Its core is a super-fast and rock-solid BPMN 2 process engine for Java. It's open-source and distributed under the Apache license. Activiti runs in any Java application, on a server, on a cluster or in the cloud. It integrates perfectly with Spring, it is extremely lightweight and based on simple concepts.

Welcome to the AWS Code Examples Repository. This repo contains code examples used in the AWS documentation, AWS SDK Developer Guides, and more. For more information, see the Readme.md file below.

A high-performance distributed file system designed to address the challenges of AI training and inference workloads.

  • distributed-file-system

A copy of the Lua development repository, as seen by the Lua team. Mirrored irregularly. All communication should be through the Lua mailing list https://www.lua.org/lua-l.html