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Testing & QA
Unit tests, integration tests, E2E, QA, validation, and test automation
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Showing 6,001–6,024 of 31,543 skills
- Eeg Based Lm EvaluationSkill for evaluating language models using EEG signals to examine human-like next-word prediction behavior based on arXiv:2607.16549. Enables fine-grained analysis of cognitive plausibility of language models during reading comprehension tasks.Votes: 0GitHub stars: 3
- Alzheimer Functional Connectivity Reservoir ComputingMethodology for identifying distributed functional-connectivity signatures of Alzheimer's disease using subject-specific reservoir-computing models and developing personalized neuromodulation strategies.Votes: 0GitHub stars: 3
- Active Spiking Perception The Membrane Potential As A Belief State For Anytime 3d Point Cloud Recognition**arXiv ID:** 2608.19232 **Authors:** Akarsh Jain, Arya Pawa, Ayush Debnath, Smera Rawal, Sayeed Shafayet Chowdhury **Published:** 2026-08-04T17:40:08Z **Abstract:** Spiking point cloud networks usually scan space in a fixed, input-agnostic order, which leaves the most distinctive resource of spiking computation, the temporal evolution of the membrane potential, unused as a locus of decision-making. Active Spiking Perception (ASP) recasts 3D recognition as an iterative decision process in whi...Votes: 0GitHub stars: 3
- Neural Lyapunov VerificationSound and complete verification of neural Lyapunov candidates for nonlinear control systems. Uses hyperplane partitioning of ReLU networks to verify stability guarantees. Use when: (1) verifying neural network controller stability, (2) Lyapunov function validation, (3) formal verification of learned control policies, (4) safety-critical neural control systems, (5) analyzing ReLU network dynamics for stability properties.Votes: 0GitHub stars: 3
- Neural Interface Safety AuditSafety audit framework for neural interface models. Identifies three alignment failures: verification insufficiency (certificates pass while accuracy drops), proxy-fidelity divergence (task optimization damages neural signals), and latent information exfiltration (private attributes leak from embeddings). Activation: neural interface safety, BCI security, EEG robustness, brain-computer interface audit, 神经接口安全, 脑机接口审计Votes: 0GitHub stars: 3
- Neocortex Learning Predictive Error DrivenNeocortex learning framework via error-driven predictive learning using temporal derivatives, corticothalamic circuits, and competitive kinase synaptic plasticity. Implemented in Axon spiking neural simulation framework. Activation: neocortex learning, predictive coding, error-driven learning, temporal derivatives, corticothalamic circuits, kinase plasticity, spiking neurons, Axon framework, competitive learningVotes: 0GitHub stars: 3
- Naimark Qnn Measurement CircuitsQuantum measurement circuit design comparing Naimark extension, hybrid Naimark-QNN, and fully QNN measurements for state discrimination. Use when: quantum measurement implementation, POVM circuits, minimum-error measurement, maximum-confidence measurement, quantum neural network measurements, Naimark extension circuits. Activation: naimark measurement, quantum measurement circuit, QNN measurement, POVM circuit, minimum-error measurement, maximum-confidence measurement, 量子测量电路Votes: 0GitHub stars: 3
- Ztpm Agentic Cps SecurityZero Trust Policy Model (ZTPM) for Agentic Cyber-Physical Systems security enforcement at physical actuation boundaryVotes: 0GitHub stars: 3
- Physics Audited Agentic Discovery In Scientific Machine LearningIn agentic scientific machine learning (SciML), large language model (LLM) agents can discover surrogate models and select one by an automated score, typically an error metric. A low error, however, d. Based on arXiv:2607.07379.Votes: 0GitHub stars: 3
- Encrypted Multi Agent Control HomomorphicEnd-to-End Encrypted Control Pipeline for Multi-Agent Coordination via CKKS Homomorphic Encryption. Enables privacy-preserving cloud-based coordination by redesigning control loops for FHE constraints. Activation: encrypted control, homomorphic encryption, multi-agent coordination, CKKS, privacy-preserving control, federated control.Votes: 0GitHub stars: 3
- Drl Pair Trading CryptoDeep Reinforcement Learning for dynamic multi-pair trading in cryptocurrency markets. Filter-then-Rank pair selection with PPO+LSTM execution agent within deterministic risk shielding. Evaluated on Binance USD-M Futures with bootstrap robustness validation. Introduces Fixed Risk Adaptive Mean execution model for safe RL in high-variance digital asset environments. (arXiv: 2606.04574)Votes: 0GitHub stars: 3
- Amortized Nonlinear MpcAmortized Nonlinear Model Predictive Control using state-dependent quadratic programs (QPs) with single-network residual-corrector architecture. Replaces expensive real-time NLP solving with differentiable interior-point QP layer, enabling deployment on resource-constrained hardware. Achieves orders-of-magnitude speedup while maintaining constraint satisfaction. Applications: robotics, autonomous systems, high-frequency control. Activation: amortized MPC, nonlinear MPC acceleration, QP-based ...Votes: 0GitHub stars: 3
- Agentic Systems Monitoring MaturityMonitoring and triage methodology for agentic systems before they're reliable. Decomposes evaluation into three dimensions (quality, suitability, efficiency) at three scopes (within-run, cross-run, structural), using variance as characterization signal. Routes findings through FMEA-based severity classification. Activation: monitoring agentic systems, agent monitoring, agent triage, agentic systems reliability, agent maturity staging.Votes: 0GitHub stars: 3
- Agentic Information Fusion Test MaintenanceMulti-agent framework (MAST) for predicting which test cases require maintenance after production code changes. Uses agentic information fusion across code diffs, test history, and semantic analysis to identify tests needing updates. Activation: test maintenance, multi-agent testing, agentic information fusion, MAST, test prediction, code evolution.Votes: 0GitHub stars: 3
- Agent First BootstrapInitialize projects with Agent-First methodology. Supports Codex, Claude Code, Qwen Code, GitHub Copilot, Gemini CLI. Generates AGENTS.md, tool-specific configs, and documentation structure.Votes: 0GitHub stars: 3
- Modular State Space Model Perception CognitionA modular state-space model for human perception, cognition, and decision dynamics that links sensory inputs to behavior through latent internal states while maintaining interpretable connections to neuro-cognitive mechanisms.Votes: 0GitHub stars: 3
- Modular Nahm Sums ConstructionMethodology for constructing and analyzing modular Nahm sums in number theory, including lift-dual operations and rank extensionsVotes: 0GitHub stars: 3
- Modular Forms Kaneko Zagier ClassificationClassification methodology for modular forms of rational weight satisfying the Kaneko-Zagier modular differential equation, using hypergeometric transformation and monodromy analysis.Votes: 0GitHub stars: 3
- Ml Quantum Error CorrectionMachine Learning approaches for Quantum Error Correction (QEC). Use when researching, designing, or implementing ML-assisted QEC systems including: (1) diffusion models for error decoding (DiffQEC pattern), (2) reinforcement learning for QEC control and calibration, (3) neural network decoders for surface codes and LDPC codes, (4) loss-biased fault-tolerant architectures, (5) quantum error correction for quantum machine learning (QML). Activation keywords: ML QEC, diffusion model quantum erro...Votes: 0GitHub stars: 3
- Metamorphic Quantum TestingPhysics-based metamorphic testing framework for Variational Quantum Circuits (VQCs). Addresses the oracle problem in quantum testing by deriving test oracles from quantum mechanical properties. Use when: testing VQEs/QAOA circuits, verifying quantum circuit implementations, building quantum software testing infrastructure. Source: MetaMorphQ (arXiv:2606.28742, 2026-06-27).Votes: 0GitHub stars: 3
- Longspike Fractional Order Snn State SpaceLongSpike fractional-order SSM for SNNs — enables efficient long-sequence learning in spiking neural networks using fractional calculus to extend memory capacity beyond traditional integer-order models.Votes: 0GitHub stars: 3
- Llm Emotion Trajectory FmriLLM自动化标注情绪轨迹fMRI解码方法论。使用多目标回归框架、动态功能连接(DFC)、图论可解释AI解码连续情绪维度。Votes: 0GitHub stars: 3
- Limited Memory Stabilizer TestingSample complexity analysis for stabilizer state testing and learning under k-qubit coherent memory constraints. Establishes fundamental memory-information tradeoffs in quantum information processing.Votes: 0GitHub stars: 3
- Leveraging Unlabelled Neural DecodingSkill for understanding and applying the MOJO framework for leveraging unlabeled data in neural population decoding via masked autoencoding and joint supervised learning.Votes: 0GitHub stars: 3