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from tassiovale
Hardware-agnostic quantum machine learning framework with automatic differentiation.
PennyLane is a comprehensive quantum computing library designed for training quantum computers similarly to neural networks. It specializes in quantum machine learning (QML) by providing automatic differentiation of quantum circuits and seamless integration with classical ML frameworks like PyTorch and JAX.
Ideal for researchers and developers working on variational algorithms (VQE, QAOA) and the intersection of quantum physics and artificial intelligence.
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Party Engine Skill
Guidance and examples for using the @cazala/party particle engine (engine lifecycle, modules, WebGPU vs CPU patterns) in custom apps.
Party Skill
Programmatic guide for the @cazala/party library: engine setup, modules, particle APIs, and performance tips for WebGPU and CPU runtimes.
ICLR Submission Workflow
Project management for ICLR submissions, from topic selection and anonymization to OpenReview discussion and final camera-ready.
Physics Tutoring & Explanation
Provides level-adaptive physics explanations, derivations, and teaching support from intuition for beginners to rigorous derivations for researchers.
Waves — Periodic Phenomena
Conceptual skill covering wave mechanics and frequency analysis (SHM, wave equation, Fourier concepts) for agent reasoning and math tooling.
Depth Estimation (Privacy)
Real-time monocular depth estimation for camera feeds with a privacy-focused depth-only mode to anonymize people while preserving scene layout.
Debug Issue
Guided, category-based decision trees to diagnose Godot problems in physics, signals, rendering, navigation, and input.
Agentic Data Science Competition
Assistant skill to run and manage Kaggle competition workflows: submission troubleshooting, score stabilization patterns, kernel workflows, and spec-driven dele