Popular GitHub Repositories for Dottxt Outlines

StoryCraftr is an open-source AI-powered tool that helps writers craft stories, generate worldbuilding details, and create book outlines and chapters seamlessly through a simple CLI. Empower your creativity with AI!

Code for building self-expanding knowledge graphs with Outlines, vLLM, neo4j, and Modal.

Dockerized LLM inference server with constrained output (JSON mode), built on top of vLLM and outlines. Faster, cheaper and without rate limits. Compare the quality and latency to your current LLM API provider.

A curated list of resources related to structured generation ?

Automatically build outlines and blog posts using GPT-3.5-turbo, GPT-4, and Vicuna-13b LLMs using a cross-platform desktop client.

A U-net based ConvNet for NZ imagery to classify building outlines.

Structured Generation Evals

This repository outlines how you can use Android Studio to build an application that implements Generative AI using the Google AI SDK. It lays out the process in three steps. Before beginning, ensure that you are running the latest preview version of Android Studio.

A serverless AWS application that combines AI-powered course content generation with an interactive question-answering system. Built using Amazon Bedrock, this solution helps educators automatically create structured course materials (outlines, content, quizzes) and provides students with an AI chatbot for course-related queries.

PDF Outline Extractor is an end-to-end machine learning pipeline that automatically generates structured outlines (Title, H1–H4 hierarchy) from unstructured PDFs — even those without embedded metadata or tags.

This Python tool leverages OpenAI and Groq APIs to generate custom technical specs and project outlines, ideal for DIY projects and more. With adjustable prompts, structured guidance, and API integration, it helps users easily plan, understand, and execute complex projects across robotics, software, and educational fields.

This project outlines an automated model pipeline from building model to its deployment enabling the use of deployed model in a scalable way to make real-time decisions based on the sentiment predictions of the app reviews.

This repository demonstrates structured data extraction using various language models and frameworks. It includes examples of generating JSON outputs for name and age extraction from text prompts. The project leverages models like Qwen and frameworks such as LangChain, vLLM, and Outlines for Transformers models.

This repository outlines the complete steel manufacturing workflow across three major segments to visualize each of them pictorially using AI

The YouTube Course Generation API transforms YouTube videos into structured courses using AI and custom resources from instructors or users. It creates detailed course outlines and educational materials, simplifying the conversion of video playlists into comprehensive learning experiences.

A PyQt5 GUI-based application that uses NLP and Groq API for summarizing terms and conditions document outlines with an inbuilt chatbot for user queries.

Setting up a local inference environment with llama.cpp and pytorch, with CUDA support . Using huggingface transformers and outlines for structured generation.

Blog generator is your AI sidekick for creating compelling blog content. Stuck staring at a blank page? Let the generator whisk away writer's block by crafting intros, outlines, and even full drafts based on your ideas and keywords. No coding needed, just feed it a topic and watch your blog posts come alive!

This repository demonstrates how to use outlines and llama-cpp-python for structured JSON generation with streaming output, integrating llama.cpp for local model inference and outlines for schema-based text generation.

An intelligent, offline-first PDF understanding system built for the Adobe India Hackathon 2025. Extracts structured outlines and semantically ranks sections based on persona-driven tasks, fully Dockerized and scoring-ready.