python

This repository guides you through the process of building a GPT-style Large Language Model (LLM) from scratch using PyTorch. The structure and approach are inspired by the book Build a Large Language Model (From Scratch) by Sebastian Raschka.

A Python CLI to test, benchmark, and find the best RAG chunking strategy for your Markdown documents.

MCP server that lets Claude Code and other AI agents work through large PDFs, and whole folders of them, without overflowing context: hybrid semantic + keyword search, selective page reading, tables, images, OCR, chart data, and multi-column/CJK layouts.

A Blender add-on for generating free textures using the Stable Diffusion AI text to image model.

DrugHIVE: Structure-based drug design with a deep hierarchical generative model

A simple web application that lets you replace any part of an image with an image generated based on your description.

🎭 由stablediffusion赋能的飞书图片生成类机器人

hns is a speech-to-text CLI tool to transcribe your voice from your microphone directly to clipboard. Integrate hns with Claude Code, Ollama, LLM, and more CLI tools for powerful workflows.

An async Python library to automate solving ReCAPTCHA v2 using Playwright.

Top Autonomous Multi-Agent Dialogue Systems for AI Character Emergence (2026)

IDMVTON最强AI换衣模型的汉化优化一键安装版,IDM-VTON

World's most accurate password guessing AI tool. A PyTorch implementation of PassLLM (USENIX 2025) that leverages PII and LoRA fine-tuning to outperform existing tools by over 45% on consumer hardware.

Speaker diarization for Python — "who spoke when?" CPU-only, no API keys, Apache 2.0. ~10.8% DER on VoxConverse, 8x faster than real-time.

ElevateAI - Speech-to-text API Python SDK

Python + Markdown framework for building internal apps.

A sophisticated multi-agent AI system for analyzing Indian NSE-listed stocks using real-time data, technical indicators, news sentiment, and advanced AI reasoning.

A simple experiment on letting two local LLM have a conversation about anything!

Hands-on MLOps projects to explore and learn the practical aspects of machine learning engineering for production.

Research feedback grounded in the papers that define your field

Self-hosted app store and runtime for AI agents. Install third-party agents, run them on your infrastructure with your own model providers (Ollama, Bedrock, OpenAI, etc.). Container isolation, credential injection, default-deny egress.