TGTGInsighttelegram intelligenceLIVE / telegram public index
← GitHub Trends

TGINSIGHT SIMILAR POSTS

Find similar content

Source channel @githubtrending · Post #15141 · Sep 13

#python#large_language_models#machine_learning_systems#natural_language_processing Flash Linear Attention (FLA) is a fast, memory-efficient library for advanced linear attention models used in transformers, written in PyTorch and Triton, and compatible with NVIDIA, AMD, and Intel GPUs. It offers many state-of-the-art linear attention models and fused modules that speed up training and reduce memory use. You can easily replace standard attention layers in your models with FLA’s efficient versions, improving training and inference speed, especially for long sequences. FLA supports hybrid models mixing linear and standard attention, and integrates with Hugging Face Transformers for easy use and evaluation. This helps you train and run large language models faster and with less memory, making your AI projects more efficient and scalable. https://github.com/fla-org/flash-linear-attention

Results

6 similar posts found

Search: #websockets

当前筛选 #websockets清除筛选
djangoproject

@djangoproject · Post #279 · 03/20/2017, 07:42 AM

https://realpython.com/blog/python/getting-started-with-django-channels/#.WLWLY9_IJ0s.linkedin In this tutorial, we will use #Django_Channels to create a real-time application that updates a list of users as they log in and out. Django Channels Logo With #WebSockets (via Django Channels) managing the communication between the client and the server, whenever a user is authenticated, an event will be broadcasted to every other connected user. Each user’s screen will change automatically, without them having to reload their browsers.

djangoproject

@djangoproject · Post #576 · 03/02/2018, 12:52 PM

https://www.obeythetestinggoat.com/pages/book.html#toc "Test-Driven Web Development with Python" aims to teach #TDD for web programming. It uses a concrete example — the development of a website, from scratch — to explain the TDD metholology and how it applies to building web applications. It covers the #Selenium browser-automation tool, #unit_testing, mocking, and interacting with Web technologies from the basics of static content, database integration, throught the inescapable JavaScript, and onto more advanced (and trendy) topics like #NoSQL, #websockets and Async programming.

djangoproject

@djangoproject · Post #517 · 12/08/2017, 05:27 AM

https://vorpus.org/blog/some-thoughts-on-asynchronous-api-design-in-a-post-asyncawait-world/#websocket-servers I've recently been exploring the exciting new world of #asynchronous I/O libraries in Python 3 – specifically asyncio and curio. These two libraries make some different design choices. Example 1: #asyncio, with callbacks Example 2: #curio, with #async/#await Example 3: asyncio, with async/await #websockets

djangoproject

@djangoproject · Post #228 · 01/16/2017, 01:11 PM

http://www.aparat.com/v/miNUS pycon 2016- Andrew Godwin - Reinventing Django for the #Real_Time Web Django has long been tied to the #request_response pattern, but the upcoming "#channels" project changes this and allows #Django to natively support #WebSockets, running tasks after responses, easily handle #long_polling and more. Come and learn about the design, how we're trying to keep things as Django-like as possible, and how you can use it in your projects.

GitHub Trends

@githubtrending · Post #15556 · 03/12/2026, 12:30 PM

#typescript#ai#ai_agents#coding#deno#embeddings#insforge#nextjs#oauth2#pgvector#postgresql#realtime#vectors#websockets InsForge is an open-source backend platform for AI coding agents, offering easy auth, Postgres database, S3 storage, edge functions, and model gateway via a simple semantic layer. Agents fetch context, configure services, and inspect state to build full-stack apps quickly. Set up locally with Docker or use cloud deploys. It boosts agent accuracy 1.7x, speed 1.6x, and cuts tokens 30% vs. rivals, letting you prototype and ship AI-driven apps faster with less hassle and cost. https://github.com/InsForge/InsForge

GitHub Trends

@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