Extra blocks for scikit-learn pipelines.
- scikit-learn
- machine-learning
- common-sense
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Extra blocks for scikit-learn pipelines.
3D visualization of scientific data in Python
Implementation of hashids (http://hashids.org) in Python. Compatible with Python 2 and Python 3
A friendly library for parsing HTTP request arguments, with built-in support for popular web frameworks, including Flask, Django, Bottle, Tornado, Pyramid, webapp2, Falcon, and aiohttp.
Fast, modular reference implementation and easy training of Semantic Segmentation algorithms in PyTorch.
📈 Personae is a repo of implements and environment of Deep Reinforcement Learning & Supervised Learning for Quantitative Trading.
asyncio client for kafka
A sharp, readable, vector-y version of Monocraft, the programming font based on Minecraft
🔪Swiss-army knife for Android testing and development 🔪 ⛺
A research toolkit for particle swarm optimization in Python
A shared budget web application
Super S3 command line tool
Evaluation code for various unsupervised automated metrics for Natural Language Generation.
Markdown parser, done right. 100% CommonMark support, extensions, syntax plugins & high speed. Now in Python!
TranslatedMcDonald's MCP party/group meal organizing assistant — a CLI/Skill for party booking and group meal planning based on the Model Context Protocol
Introduction to Semiconductor Manufacturing
ThePhish: an automated phishing email analysis tool
Install macOS on your PC from Windows
Freedoom is an entirely free software game based on the Doom engine.
Deep learning in Python
A system for assigning and grading notebooks
Jupyter magics and kernels for working with remote Spark clusters
Image process framework based on plugin like imagej, it is esay to glue with scipy.ndimage, scikit-image, opencv, simpleitk, mayavi...and any libraries based on numpy
Claude Code skill kit for premium AI-assisted business videos: independent critic loop, motion principles from 28 launch films, quality bar, sound design, business offers, Three.js patterns, scripts