Effortlessly build beautiful command-line apps
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Effortlessly build beautiful command-line apps
Evidently is an open-source ML and LLM observability framework. Evaluate, test, and monitor any AI-powered system or data pipeline. From tabular data to Gen AI. 100+ metrics.
AgentPilot: Make Your Agents Move Better and Faster
Stylish, intuitive and user-friendly prompts. Used by eslint, webpack, yarn, pm2, pnpm, RedwoodJS, FactorJS, salesforce, Cypress, Google Lighthouse, Generate, tencent cloudbase, lint-staged, gluegun, hygen, hardhat, AWS Amplify, GitHub Actions Toolkit, @airbnb/nimbus, and more! Please follow Enquirer's author: https://github.com/jonschlinkert
Ingest, parse, and optimize any data format ➡️ from documents to multimedia ➡️ for enhanced compatibility with GenAI frameworks
Translateddsh-purge Community · Community-maintained edition of DeepSeek Harness: host compatibility, status diagnostics, prompt management, updates, and local backup and rollback. Based on dsh-purge by 小杨 (Xiao Yang) / YuJunZhiXue.
Minimal web UI for ChatGPT.
Multi-account API gateway for Grok Build, Grok Web, and Grok Console
Implementation of RLHF (Reinforcement Learning with Human Feedback) on top of the PaLM architecture. Basically ChatGPT but with PaLM
Infrastructure for continually self‑improving agents
A simple task management system for managing AI dev agents
Open source inference engine that tunes its kernels on your hardware to find the fastest way to run each model. 2x faster than Ollama. Works on Apple Silicon, NVIDIA, AMD, Intel, or just a CPU.
A CLI tool to convert your codebase into a single LLM prompt with source tree, prompt templating, and token counting.
A team of long-lived bots for DeepSeek Harness, with main bots, bot-to-bot messages and group chats.
OpenCompass is an LLM evaluation platform, supporting a wide range of models from OpenAI, Anthropic, Gemini, Qwen, GLM, DeepSeek, etc, across 100+ datasets covering knowledge, reasoning, coding, science, language, long-context, and safety.
TranslatedOpen-source manuscript of 《深入理解 AI Infra:量化分析与系统设计》 (In-Depth Understanding of AI Infra: Quantitative Analysis and System Design), by 李博杰 (Li Bojie): starting from hardware constraints and model architecture, it quantitatively derives the system design of LLM inference and training. Includes the full text of the book, a PDF, and companion calculation tools and experiments
This repo powers my experiment where ChatGPT manages a real-money micro-cap stock portfolio.
NeMo Guardrails is an open-source toolkit for easily adding programmable guardrails to LLM-based conversational systems.
💼 An enterprise-grade Next.js boilerplate for high-performance, maintainable apps. Packed with features like Tailwind CSS, TypeScript, ESLint, Prettier, testing tools, and more to accelerate your development.
Tools for merging pretrained large language models.
File Parser optimised for LLM Ingestion with no loss 🧠 Parse PDFs, Docx, PPTx in a format that is ideal for LLMs.
Gemma 4 26B-A4B inference in ~2 GB of RAM on any M-series MacBook
DeepSeek LLM: Let there be answers
AI suite powered by state-of-the-art models and providing advanced AI/AGI functions. Includes AI personas, AGI functions, world-class Beam multi-model chats, text-to-image, voice, response streaming, code highlighting and execution, PDF import, presets for developers, much more. Deploy on-prem or in the cloud.