Думаю, ни для кого не секрет, что все популярные JavaScript движки имеют схожий пайплайн выполнения кода. Выглядит он примерно следующим образом. Интерпретатор быстро компилирует JS-код в байт "на лету". Полученный байт код начинает исполняться и параллельно обрабатывается оптимизатором. Оптимизатору требуется время на такую обработку, но в итоге может получиться высоко-оптимизорованный код, который будет работать в разы быстрее. В движке V8 роль интерпретатора выполняет Ignition, а опт…
IDM-VTON : Improving Diffusion Models for Authentic Virtual Try-on in the Wild IDM-VTON: Improving Diffusion Models for Authentic Virtual Try-on in the Wild This is the official implementation of the paper "Improving Diffusion Models for Authentic Virtual Try-on in the Wild". Star ⭐ us if you like it! TODO LIST demo model inference code training code Requirements git clone https://github.com/yisol/IDM-VTON.git cd IDM-VTON conda env create -f environment.yaml conda activa…
A private blockDAG using Homomorphic Encryption with Smart Contract supportXELIS All rights reserved. A from scratch blockchain made in Rust and powered by Tokio, using account model. XELIS is based on an event-driven system combined with the native async/await and works with a unique and from scratch p2p system. This allow to be notified on any events happening on the network and to be able to react to them instead of checking periodically for updates. BlockDAG is enabled to improve the scalab…
Tool to visualize the Copilot metrics provided via the Copilot Business Metrics API (current in public beta)GitHub Copilot Metrics Viewer This application displays a set of charts with various metrics related to GitHub Copilot for your GitHub Organization. These visualizations are designed to provide clear representations of the data, making it easy to understand and analyze the impact and adoption of GitHub Copilot. Video copilot-metrics-viewer.mov Ch…
A framework for Claude Opus to intelligently orchestrate subagents.Maestro - A Framework for Claude Opus, GPT and local LLMs to Orchestrate Subagents This Python script demonstrates an AI-assisted task breakdown and execution workflow using the Anthropic API. It utilizes two AI models, Opus and Haiku, to break down an objective into sub-tasks, execute each sub-task, and refine the results into a cohesive final output. New Mestro now runs locally thanks to the Ollama platform. Experience the pow…
"Zero-Knowledge" Proof Implementation with HMAC Communication in JavaScript zk-Call & Labs "Zero-Knowledge" Proof Implementation with HMAC Communication in JavaScript Built by zk-Call :) Table of Contents Credits Purpose How it Works API Example Usage Credits This repository hosts a refined implementation of Schnorr's Protocol, innovatively incorporating a state seed for enhanced security measures. While the underlying proofs may appear intricate, …
Toolkit is a collection of prebuilt components enabling users to quickly build and deploy RAG applications. Cohere Toolkit Toolkit is a collection of prebuilt components enabling users to quickly build and deploy RAG applications. Try Toolkit About Toolkit Deploy Toolkit Develop and troubleshoot Component Guides What's on our roadmap How to contribute Try Coral Showcase Quick start Deploying to Azure You can deploy Toolkit with one click to Microsoft Azure Platform: Building and running…
ロゴを可愛く作ろう 節度を持って利用してください🫠English README | 日本語 README | 简体中文 README | 繁體中文 README ServiceLogos Hello, good morning, good evening. This is a repository created by Sawaratsuki to upload logos of various services. WarningThe logos here are not official logos. License If you want to use the logo, please read this section carefully. Note Summary: You are free to use this logo for non-commercial, non-profit purposes. For example, you can use it for printing as stickers, as icons for editors, etc. Pl…
CoreNet: A library for training deep neural networksCoreNet: A library for training deep neural networks CoreNet is a deep neural network toolkit that allows researchers and engineers to train standard and novel small and large-scale models for variety of tasks, including foundation models (e.g., CLIP and LLM), object classification, object detection, and semantic segmentation. Table of contents What's new? Research efforts at Apple using CoreNet Installation Directory Structure Maintainer…