Popular GitHub Repositories for Structured Feedback

? Turn entire websites into LLM-ready markdown or structured data. Scrape, crawl and extract with a single API.

Turn any PDF or image document into structured data for your AI. A powerful, lightweight OCR toolkit that bridges the gap between images/PDFs and LLMs. Supports 80+ languages.

??? 60+ Implementations/tutorials of deep learning papers with side-by-side notes ?; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), ? reinforcement learning (ppo, dqn), capsnet, distillation, ... ?

A Python library for extracting structured information from unstructured text using LLMs with precise source grounding and interactive visualization.

Weaviate is an open-source vector database that stores both objects and vectors, allowing for the combination of vector search with structured filtering with the fault tolerance and scalability of a cloud-native database?.

Structured Text Generation

structured outputs for llms

LangGPT: Empowering everyone to become a prompt expert!? Structured Prompt，Language of GPT, 结构化提示词，结构化Prompt

TensorZero creates a feedback loop for optimizing LLM applications — turning production data into smarter, faster, and cheaper models.

Fast and Accurate ML in 3 Lines of Code

Implementation of RLHF (Reinforcement Learning with Human Feedback) on top of the PaLM architecture. Basically ChatGPT but with PaLM

Turn any webpage into structured data using LLMs

A repo for distributed training of language models with Reinforcement Learning via Human Feedback (RLHF)

Align Anything: Training All-modality Model with Feedback

A curated list of reinforcement learning with human feedback resources (continually updated)

Mirix is a multi-agent personal assistant designed to track on-screen activities and answer user questions intelligently. By capturing real-time visual data and consolidating it into structured memories, Mirix transforms raw inputs into a rich knowledge base that adapts to your digital experiences.

Distilabel is a framework for synthetic data and AI feedback for engineers who need fast, reliable and scalable pipelines based on verified research papers.

Document (PDF, Word, PPTX ...) extraction and parse API using state of the art modern OCRs + Ollama supported models. Anonymize documents. Remove PII. Convert any document or picture to structured JSON or Markdown

Motion planning algorithms commonly used on autonomous vehicles. (path planning + path tracking)

Document intelligence framework for Python - Extract text, metadata, and structured data from PDFs, images, Office documents, and more. Built on Pandoc, PDFium, and Tesseract.