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Automatic polyfill service.Polyfill.io · Polyfill.io is a service which makes web development less frustrating by selectively polyfilling just what the browser needs. Polyfill.io reads the User-Agent header of each request and returns polyfills that are suitable for the requesting browser. Documentation Polyfill.io documentation is on the website. Contributing Read our contributing guide to learn about our development process, how to propose bugfixes and improvements, and how to build and tes…
Data-Science-Projects-For-Resumes Machine Learning, Deep Learning, and NLP Projects First End-To-End ML Project for Starters [Student Performance Prediction] End-to-End NLP Project with GitHub Action, MLOps, and Deployment [Text Summarization] End-to-End ML Project Implementation Using AWS Sagemaker Computer Vision: End-to-End Cell Segmentation Using Yolo V8 (Part 1) (Part 2) Deep Learning Project with Deployment, MLOps, and DVC [Chicken Disease Classification] Audio Clas…
High-quality multi-lingual text-to-speech library by MyShell.ai. Support English, Spanish, French, Chinese, Japanese and Korean. Introduction MeloTTS is a high-quality multi-lingual text-to-speech library by MyShell.ai. Supported languages include: Language Example English (American) Link English (British) Link English (Indian) Link English (Australian) Link English (Default) Link Spanish Link French Link Chinese (mix EN) Link Japanese Link Korean Link Some …
A framework for rapid development and deployment of production-ready RAG systemsR2R: Production-ready RAG systems. A semi-opinionated RAG framework. R2R was conceived to bridge the gap between experimental RAG models and robust, production-ready systems. Our semi-opinionated framework cuts through the complexity, offering a straightforward path to deploy, adapt, and maintain RAG pipelines in production. We prioritize simplicity and practicality, aiming to set a new industry be…
Windows in a Docker container.Windows Windows in a Docker container. Features ISO downloader KVM acceleration Web-based viewer Usage Via docker-compose.yml version: "3" services: windows: image: dockurr/windows container_name: windows devices: - /dev/kvm cap_add: - NET_ADMIN ports: - 8006:8006 - 3389:3389/tcp - 3389:3389/udp stop_grace_period: 2m restart: on-failure Via docker run docker run -it --rm --name windows -…
📱 user interfaces for react-three-fiber@react-three/uikit Build performant 3D user interfaces for Three.js using @react-three/fiber and yoga Changes over Koestlich higher performance (GPU + CPU) no suspense (similarly to html/css images and texts don't suspend) objects are nested for correct event propagation no default animations complete freedom to use R3F inside of UI => ... better scroll experiences (scrollbar + overscroll) overall DX improvements (hover, responsive, ...) TODO Rele…
Lightweight Postgres packaged as WASM into a TypeScript library for the browser, Node.js, Bun and DenoPGlite - Postgres in WASM PGlite is a WASM Postgres build packaged into a TypeScript client library that enables you to run Postgres in the browser, Node.js and Bun, with no need to install any other dependencies. It is only 3.7mb gzipped. import { PGlite } from "@electric-sql/pglite" const db = new PGlite() await db.query("select 'Hello world' as message;") // -> […
Accelerate your Hugging Face Transformers 6-7x. Native to Hugging Face and PyTorch.GPTFast Accelerate your Hugging Face Transformers 6-7x with GPTFast! Background GPTFast was originally a set of techniques developed by the PyTorch Team to accelerate the inference speed of Llama-2-7b. This pip package generalizes those techniques to all Hugging Face models. Demo GPTFast Inference Time Eager Inference Time Getting Started Make sure that your python version >= 3.10, and you are on …