Popular GitHub Repositories for Yaml

A multilingual dialog corpus

AI 开发者的 AI 工具包

jsontt ? - AI JSON Translator with GPT + other FREE translation modules to translate your json/yaml files into other languages ? Check Readme ? Supports GPT / DeepL / Google / Bing / Libre / Argos

The AI toolkit for the AI developer

A chatbot framework written in Go. All configurations are made in YAML files, or inside scripts written in your favorite language.

?? RumbleDB 1.22.0 "Pyrenean oak" ? for Apache Spark | Run queries on your large-scale, messy JSON-like data (JSON, text, CSV, Parquet, ROOT, AVRO, SVM...) | No install required (just a jar to download) | Declarative Machine Learning and more

Deep Learning project template for PyTorch (multi-gpu training is supported)

MIT-licensed Framework for LLMs, RAGs, Chatbots testing. Configurable via YAML and integrable into CI pipelines for automated testing.

AI-native application framework and runtime, simply write a YAML file.

This repository contains Dockerfiles, scripts, yaml files, Helm charts, etc. used to scale out AI containers with versions of TensorFlow and PyTorch that have been optimized for Intel platforms. Scaling is done with python, Docker, kubernetes, kubeflow, cnvrg.io, Helm, and other container orchestration frameworks for use in the cloud and on-premise

Powerful LLM Query Framework with YAML Prompt Templates. Made for Automation

Multi-agent workflows and complex Agent interactions, both via YAML manifest and programmatic usage. Pydantic-AI and LiteLLM backends. Human-in-the-loop integration.

Declarative AI Pipelines

A CLI tool for managing and generating AI coding rules documentation from YAML configurations

OpenAI CLIP based image generator with complex config file controlled transformation and training pipelines

Fractalic: Build and version-control AI systems using Markdown & YAML. Combine LLM calls, shell commands, and modular workflows in a human-readable format. Docker-first installation, Git-native tracking.

AgentParse is a high-performance parsing library designed to map various structured data formats (such as Pydantic models, JSON, YAML, and CSV) into agent-understandable blocks. By leveraging **AgentParse**, engineers can ensure seamless data ingestion for LLM agents, enabling fast and accurate processing of real-world data.

Agent Forge is a TypeScript framework for creating, configuring, and orchestrating AI agents that connect to LLMs (Large Language Models)

A CLI tool to perform syntactic and semantic validation of YAML files.

hydra-pl-wandb-sample-project is a NN experiment management code using hydra, pytorch-lightinig, and wandb.