A Modern C++ Data Sciences Toolkit
Directorio de skills
Descubre skills reutilizables para AI agents.
Cada recomendación conserva un vínculo claro con su repositorio, auditoría y ruta de instalación.
Resultados de búsqueda: meta
Directorio en ingléstool for turning many repos into a meta repo. why choose many repos or a monolithic repo, when you can have both with a meta repo?
Omnigent is an open-source AI agent framework and meta-harness: orchestrate Claude Code, Codex, Cursor, Pi, and custom agents — swap harnesses without rewriting, enforce policies and sandboxing, and collaborate in real time from any device.
Welcome to the Llama Cookbook! This is your go to guide for Building with Llama: Getting started with Inference, Fine-Tuning, RAG. We also show you how to solve end to end problems using Llama model family and using them on various provider services
Comprehensive paid advertising audit & optimization skill for Claude Code. 250+ checks across Google, Meta, YouTube, LinkedIn, TikTok, Microsoft & Apple Ads with weighted scoring, parallel agents, industry templates, and AI creative generation.
A comprehensive collection of 30+ Claude Code skills for cold email and outbound sales, covering strategy, infrastructure, lead sourcing, and copywriting, with a guided kickoff flow and signal playbooks.
A CNI meta-plugin for multi-homed pods in Kubernetes
Search Engine Optimization (SEO) for Ruby on Rails applications.
Training PyTorch models with differential privacy
FinRL®-Meta: Dynamic datasets and market environments for FinRL.
The immutable Linux meta-distribution for edge Kubernetes.
A lightweight library for PyTorch training tools and utilities