英文单词,英语单词,四六级 CET4 CET6、考研、SAT单词,txt 文件, json 文件
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英文单词,英语单词,四六级 CET4 CET6、考研、SAT单词,txt 文件, json 文件
A library to present popovers. Simple, modern, and highly customizable. Not boring!
A local UI tool for visualizing your Tailwind CSS configuration file.
Fast stable diffusion on CPU and AI PC
Build a full-stack Uber Clone Application with Expo’s latest features and lightning-fast edge-ready Postgres database in React Native.
Official Command Line Interface for the IPinfo API (IP geolocation and other types of IP data)
Enhancing {ggplot2} plots with statistical analysis 📊📣
Eclipse iceoryx™ - true zero-copy inter-process-communication
CLI tool for Nest applications 🍹
Quadsort is a branchless stable adaptive mergesort faster than quicksort.
A Photoshop AI plugin
Aimeos abstraction layer for host applications
Interactive course teaching Product Managers how to use Claude Code effectively
Code, labs, and resources for O'Reilly AI Systems Performance Engineering: GPU optimization, distributed training, inference scaling, and full-stack tuning.
A practical example on how to perform sandwich attacks on Ethereum
OAuth authentication plugin for personal coding assistance with ChatGPT Plus/Pro subscriptions - uses OpenAI's official authentication method
VLX-Seek is an efficient VLM that grounds fine-grained visual targets with high precision in wild environments.
Please use openpyxl where you can...
Home Assistant custom component for real-time viewing of almost any camera stream using WebRTC and other technologies.
:zap: RAN! React . GraphQL . Next.js Toolkit :zap: - SEO-Ready, Production-Ready, SSR, Hot-Reload, CSS-in-JS, Caching, CLI commands and more...
A processing script for Bricklayers in Prusaslicer and Orcaslicer
An HTML to PDF library for the JVM. Based on Flying Saucer and Apache PDF-BOX 2. With SVG image support. Now also with accessible PDF support (WCAG, Section 508, PDF/UA)!
Complete Listing and Usage of Tools used for Ethical Hacking
The AI Compendium, previously called the ML Compendium, curates resources and explanations of machine learning (ML) and deep learning, from a business problem through data, AI, engineering, and product.