A cross platform Mastodon Client written in RustEbou Ebou is a cross platform Mastodon (and Pleroma, untested) client written in Rust using the Dioxus UI library. It currently runs on macOS [stable], Windows [beta], and theoretically on Linux [untested]. Ebou is a different take on the Microblogging / Mastodon experience. It groups new Toots by author and displays them in a UI not unlike modern messengers like Telegram, iMessage or WhatsApp. This makes it easy to see your friends' updates …
Open source tool for monitoring and managing ClickHouse clusters 📈 Open source tool for monitoring and managing ClickHouse clusters Get an overview of cluster load and performance Drill down into your queries and understand the load they put on your cluster Search through logs and errors Monitor and kill running queries with the click of a button Get stats on your disk usage per node, and understand how much disk space tables, columns, and parts take up Run your own queries straight f…
Performance Optimizer Observation PlatformPerformance Optimizer Observation Platform Stop flushing your performance down the drain. Overview This command line tool uses Linux's perf_event_open functionality to compare the performance of multiple commands with a colorful terminal user interface. Usage Usage: poop [options] <command1> ... <commandN> Compares the performance of the provided commands. Options: --duration <ms> (default: 5000) how long to repeatedly sampl…
Build AI-powered applications with React, Svelte, and VueVercel AI SDK The Vercel AI SDK is a library for building edge-ready AI-powered streaming text and chat UIs. Features SWR-powered React, Svelte and Vue helpers for streaming text responses and building chat and completion UIs First-class support for LangChain and OpenAI, Anthropic, and HuggingFace Edge Runtime compatibility Callbacks for saving completed streaming responses to a database (in the same request) Installation pnpm install a…
Lit is a simple library for building fast, lightweight web components. Simple. Fast. Web Components. Lit is a simple library for building fast, lightweight web components. At Lit's core is a boilerplate-killing component base class that provides reactive state, scoped styles, and a declarative template system that's tiny, fast and expressive. Documentation See the full documentation for Lit at lit.dev. For information about upgrading lit-html 1.x and lit-element 2.…
This is a simple proxy server that can be used for sending free transactional emails through Cloudflare workers. Cloudflare Worker Email Server Send free transactional emails from your Cloudflare Workers using MailChannels. Getting Started! Clone this repository Install the dependencies with npm install Use the command npx wrangler secret put --env production TOKEN to deploy a securely stored token to Cloudflare. With this command, you will be prompted to enter a random secret value, w…
Family of instruction-following LLMs powered by Evol-Instruct: WizardLM, WizardCoderWizardLM: An Instruction-following LLM Using Evol-Instruct Empowering Large Pre-Trained Language Models to Follow Complex Instructions News At present, our core contributors are preparing the 65B version and we expect to empower WizardLM with the ability to perform instruction evolution itself, aiming to evolve your specific data at a low cost. 🔥🔥🔥 we released the latest optimized version of Evol-Instruc…
MedicalGPT: Training Your Own Medical GPT Model with ChatGPT Training Pipeline. 训练医疗大模型，实现包括二次预训练、有监督微调、奖励建模、强化学习训练。🇨🇳中文 | 🌐English | 📖文档/Docs | 🤖模型/Models MedicalGPT: Training Medical GPT Model 📖 Introduction MedicalGPT training medical GPT model with ChatGPT training pipeline, implemantation of Pretraining, Supervised Finetuning, Reward Modeling and Reinforcement Learning. MedicalGPT 训练医疗大模型，实现包括二次预训练、有监督微调、奖励建模、强化学习训练。 分四阶段训练GPT模型，来自Andrej Karpathy的演讲PDF State of GPT，视频…
An algorithm for reconstructing the radiance field of a large-scale scene from a single casually captured video.Progressively Optimized Local Radiance Fields for Robust View Synthesis We present an algorithm for reconstructing the radiance field of a large-scale scene from a single casually captured video. The task poses two core challenges. First, most existing radiance field reconstruction approaches rely on accurate pre-estimated camera poses from Structure-from-Motion algorithms, which freq…