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Source channel @githubtrending · Post #14974 · Jul 19

#cplusplus ik_llama.cpp is an improved version of llama.cpp that runs faster on CPUs and hybrid GPU/CPU setups. It supports many new advanced quantization methods, which help models use less memory and run more efficiently. It also offers better performance for special models like DeepSeek and MoE, with faster prompt processing and token generation. You can run it on various hardware, including Android, and it has features to control where model data is stored (CPU or GPU). This means you get quicker AI responses and can handle bigger or more complex models smoothly on your computer or device[2][1][4]. https://github.com/ikawrakow/ik_llama.cpp

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djangoproject

@djangoproject · Post #518 · 12/10/2017, 10:01 AM

The library allows us to store user-specific data into a #session object. The session object has a dict-like interface (operations like session[key] = value, value = session[key] etc. are present). Before processing the session in a web-handler, you have to register the session #middleware in #aiohttp.web.Application. https://github.com/aio-libs/aiohttp-session

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@githubtrending · Post #15043 · 08/09/2025, 12:30 PM

#go#2fa#authentication#caddy#golang#middleware#nginx#selfhosted#sso#totp#traefik_middleware#typescipt Tinyauth is a simple tool that adds a login screen or OAuth login (Google, Github, etc.) to your Docker apps, making them secure easily. It works with popular reverse proxies like Traefik, Nginx, and Caddy. You can quickly set it up using their documentation and demo, and it supports basic authentication and API access. This helps protect your apps from unauthorized access without complex setup. It’s open source, actively developed, and has a helpful community on Discord for support. Using Tinyauth improves your app security with minimal effort and flexible login options. https://github.com/steveiliop56/tinyauth

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@githubtrending · Post #15204 · 10/08/2025, 11:30 AM

#java#cloud#coap#dashboard#iot#iot_analytics#iot_platform#iot_solutions#java#kafka#lwm2m#microservices#middleware#mqtt#netty#platform#snmp#thingsboard#visualization#websockets#widgets ThingsBoard is an open-source IoT platform that helps manage and analyze data from connected devices. It allows users to collect data, create real-time dashboards, and automate tasks using a powerful rule engine. This platform supports various protocols like MQTT and HTTP, making it easy to connect devices. Users can also define relationships between devices and assets, and trigger alarms based on specific conditions. The benefit is that it simplifies IoT project development, making it scalable and efficient for applications like smart farming, smart offices, and more. https://github.com/thingsboard/thingsboard