Training, generation and utility scripts for Stable Diffusion and other image generation models, covering LoRA and fine-tuning.
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Best open-source Python projects
Open-source projects written in Python, ranked by stars with AI summaries and license info.
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A collection of 11 role-specific plugins that give Claude Cowork or Claude Code skills, slash commands and tool connectors for sales, legal, finance, data and more.
A Claude Code-based job application framework that evaluates postings, tailors LaTeX CVs, writes cover letters and preps interviews, running locally in your fork.
A DSH plugin that lets an AI model drive a running Blender session over a direct TCP channel, exposing 16 tools for viewport capture, scene edits and headless work.
NEO is a family of native vision-language models that process pixels and words in one encoder-free dense architecture, with training and evaluation code.
Self-hosted AI research assistant that runs deep, multi-step searches across local and cloud LLMs and many search engines, with citations and encrypted storage.
Open-source Python package that turns websites, PDFs, images, YouTube videos or topics into multilingual audio podcast conversations using GenAI.
Offline, open-source image generator built on Stable Diffusion XL that lets you focus on prompts instead of manual parameter tuning.
Open-source large-scale video generative models for text-to-video, image-to-video, speech-to-video and character animation.
A Gradio-based web UI for running Stable Diffusion and newer image/video models, continuing the Forge fork with added model support and optimizations.
A node-graph GUI, API and backend for running diffusion models locally to generate images, video, audio and 3D content.
Open-source interactive game video generation model that turns a reference image and keyboard or mouse inputs into controllable gameplay-style video.
Open-source music generation model that runs locally, creating full songs from text prompts with editing, cover, and LoRA training features.
Open-source interactive world model that renders playable game scenes from low-poly frames using streaming neural rendering.
A unified training engine for multimodal models, supporting VLM, diffusion and LLM training with FSDP2, Muon and Liger kernels.
A self-hosted video compressor with a web UI that shrinks clips to a target file size using GPU or CPU encoding via FFmpeg.
A curated, language-organized list of tutorials that walk developers through building complete applications from scratch.
A Python CLI that automatically locks your desktop when your paired Bluetooth phone or smartwatch moves out of range.
Self-hosted web app that transcribes YouTube videos and local audio/video files with OpenAI Whisper, running on your own machine.
A video LLM trained with streaming speech transcription that produces real-time commentary on live video, from the CVPR 2025 LiveCC paper.