Turn one topic into a finished Vox-style paper-collage explainer/ad video — automated end to end on Atlas Cloud + ffmpeg. An agent skill.
- ai-video
- claude-code
- claude-skill
- explainer-video
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Turn one topic into a finished Vox-style paper-collage explainer/ad video — automated end to end on Atlas Cloud + ffmpeg. An agent skill.
Integrate ChatGPT into your own discord bot
Use a docx as a jinja2 template
A command-line tool that helps you clean up Git branches that have been merged into master.
Asynchronous Python ODM for MongoDB
multiple GNOME terminals in one window
TranslatedTranslators is a library that aims to bring free, multiple, enjoyable translations to individuals and students in Python.
Deep neural network to extract intelligent information from invoice documents.
Colour Science for Python
Django Channels HTTP/WebSocket server
Easy benchmarking of all publicly accessible implementations of convnets
🎚️ Open Source Audio Matching and Mastering
Python character encoding detector
Meltano: the declarative code-first data integration engine that powers your wildest data and ML-powered product ideas. Say goodbye to writing, maintaining, and scaling your own API integrations.
The animation engine for agents: blazingly fast math and 3D videos with Manim's Python API, on a Rust GPU core.
Automated Security Testing For REST API's
Algorithms for explaining machine learning models
[SIGGRAPH Asia 2026] UniMate: One Unified Model to Animate Diverse Skeletons
Useful extensions to the standard Python datetime features
A pythonic interface to Amazon's DynamoDB
CloudFormation Linter
Python library and CLI tool to interface with Google Translate's text-to-speech API
Serve large Qwen models fast on the GPUs you actually own. Qwen3.8-27B on a single 24 GB card with vLLM: 127 tok/s single-user (381 when the answer quotes the prompt), ~1,035 tok/s at 64 concurrent, 150k-262k context. vLLM patches, requant pipeline, benchmarks.
wxPython's Project Phoenix. A new implementation of wxPython, better, stronger, faster than he was before.