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#typescript #hacktoberfest #matrix

Element is a web client for the Matrix communication platform, built using the Matrix React SDK. It supports various environments, including recent versions of Chrome, Firefox, Edge, and Safari on desktop OSes like macOS, Windows, and Linux. For mobile devices, it recommends using native apps for Android and iOS. To get started, you can use the hosted version at [app.element.io](https://app.element.io) or set up your own instance by following the installation guide. Element also offers a desktop app version wrapped in Electron. The key benefit to users is that Element provides a secure and customizable way to communicate over the Matrix network. It includes important security measures such as preventing cross-site scripting (XSS) vulnerabilities and clickjacking protection through proper web server configurations. Additionally, it allows for community contributions and translations, making it accessible to a wider audience.

https://github.com/element-hq/element-web
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#jinja #ansible_playbook #ansible_role #automation #docker #jitsi #matrix_org #matrix_server #self_hosting

This tool helps you set up and manage your own Matrix server, a secure and decentralized communication network. It uses Ansible and Docker to automate the installation and maintenance of various services like the homeserver, web clients, and additional components like bridges to other communication platforms (e.g., Discord, Slack, Telegram). The setup is made easy with detailed documentation and automated tasks, allowing you to host your own Matrix server with custom configurations and security features like SSL certificates. This benefits you by giving you full control over your communication data and the ability to customize your server according to your needs.

https://github.com/spantaleev/matrix-docker-ansible-deploy
#c_lang #convolutional_neural_network #convolutional_neural_networks #cpu #inference #inference_optimization #matrix_multiplication #mobile_inference #multithreading #neural_network #neural_networks #simd

XNNPACK is a powerful tool that helps make neural networks run faster on various devices like smartphones, computers, and Raspberry Pi boards. It supports many different types of processors and operating systems, making it very versatile. XNNPACK doesn't work directly with users but instead helps other machine learning frameworks like TensorFlow Lite, PyTorch, and ONNX Runtime to perform better. This means your apps and programs that use these frameworks can run neural networks more quickly and efficiently, which is beneficial because it saves time and improves performance.

https://github.com/google/XNNPACK