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Source channel @githubtrending · Post #15267 · Nov 4

#jupyter_notebook#deep_learning#pytorch You can learn PyTorch effectively in 20 days with a friendly, well-structured guide designed for those who already know some machine learning basics and have used Keras, TensorFlow, or PyTorch before. The book breaks down PyTorch concepts from easy to hard, with clear examples and practical code you can use right away. It includes a daily plan requiring 30 minutes to 2 hours, covering modeling, core concepts, APIs, and even advanced topics like GPU training and recommendation systems. This approach makes mastering PyTorch easier and faster, helping you build strong skills for deep learning projects and real applications. https://github.com/lyhue1991/eat_pytorch_in_20_days

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DOFH - DevOps from hell

@dofh_ru · Post #3913 · 11/09/2025, 07:39 AM

Multi-area OSPF и проектирование сетей: рекомендации по планированию Эффективное планирование и проектирование сетевой топологии имеют решающее значение для поддержания надежных, масштабируемых и высокопроизводительных систем связи. Одним из ключевых протоколов для достижения таких целей в крупномасштабных сетях является протокол маршрутизации Open Shortest Path First (OSPF). Использование OSPF не только оптимизирует передачу сетевого трафика, но и повышает масштабируемость и упрощает управление. В этой статье рассматриваются технические нюансы multi‑area OSPF, предлагаются идеи и лучшие практики для проектирования сетей. https://telegra.ph/Multi-area-OSPF-i-proektirovanie-setej-rekomendacii-po-planirovaniyu-11-08 #ит_статьи#network#ospf#routing

djangoproject

@djangoproject · Post #169 · 09/22/2016, 02:19 PM

https://github.com/KeepSafe/aiohttp Supports both #client and #server side of HTTP protocol. Supports both client and server Web-Sockets out-of-the-box. Web-server has middlewares and pluggable #routing. Optionally you may install the #cChardet and #aiodns libraries (highly recommended for sake of speed).

GitHub Trends

@githubtrending · Post #15521 · 02/25/2026, 11:30 AM

#rust#ai_gateway#ai_gateway_support#envoy#envoyproxy#gateway#generative_ai#llm_gateway#llm_inference#llm_proxy#llm_routing#llmops#llms#openai#prompt#proxy#proxy_server#routing Plano is an AI-native proxy server that handles key tasks for agentic apps like routing between agents, smart LLM model selection, safety guardrails, and automatic traces for observability. Define agents in simple YAML, write basic HTTP code in any language, and start Plano to run multi-agent systems without custom plumbing or framework lock-in. You benefit by building and shipping reliable agents to production much faster, focusing on core logic while gaining safety, low latency, and easy scaling. https://github.com/katanemo/plano