All categories
DevOps & Cloud
Deployment, cloud, containers, CI/CD, monitoring, and infrastructure
- 20,289
- 846
Security grades appear on each card once the skill has been scanned. Newly imported skills may briefly show without a grade until the backfill job runs.
Open in full browserBrowse devops & cloud skills
Showing 7,081–7,104 of 20,289 skills
- Secure Decentralized Federated Learning Gossip Virtual VotinggspDAG-FL: secure decentralized federated learning via gossip and virtual voting. Derives consensus from gossip history, uses Hashgraph-style virtual voting on compact DAG. Byzantine resilience with payload validation and semantic audit. Activation: decentralized federated learning, gossip protocol, virtual voting, Byzantine resilience, ledger-assisted FL.Votes: 0GitHub stars: 3
- A Unified Detection Framework For Ai Related Content And ArtifactsArtificial intelligence (AI) is a double-edged sword: while it has achieved remarkable success across a wide range of domains, its deployment also calls for effective oversight and regulation, for whi. Based on arXiv:2607.07527.Votes: 0GitHub stars: 3
- Scalable Training Continuous Time Snn DstdScalable Training of Continuous-Time Spiking Neural Networks with Differentiable Spike-Time Discretization (DSTD) — reduces memory and training time for deep SNNs via fixed-time discretization and synfire-chain-inspired regularizationVotes: 0GitHub stars: 3
- Medgym Continuous Time Medical RlMedGym - Unified continuous-time benchmark for dynamic medical treatment reinforcement learning using Physics-Informed Neural NetworksVotes: 0GitHub stars: 3
- Drpo Drifting Preference OptimizationDrifting Preference Optimization (DrPO) - Online preference-finetuning for one-step generative models using non-parametric dipole preference fields and reference drift estimation.Votes: 0GitHub stars: 3
- Advantage Collapse Grpo AvspoAdvantage Collapse in Group Relative Policy Optimization (GRPO): Diagnosis and Mitigation via Adaptive Virtual Sample Policy Optimization (AVSPO). Introduces the Advantage Collapse Rate (ACR) metric to diagnose training stagnation, and proposes AVSPO to inject virtual reward samples guided by real-time ACR monitoring. Use when: diagnosing GRPO training failures, improving LLM reasoning RL post-training, mitigating advantage collapse, ICML 2026 accepted. Activation: advantage collapse GRPO, AV...Votes: 0GitHub stars: 3
- Probe Trajectory Reasoning MonitoringProbe trajectory methodology for monitoring Large Reasoning Model (LRM) internal dynamics. Tracks concept probability evolution across Chain of Thought tokens using signal-processing features (volatility, trend, steady-state) to predict future model behavior.Votes: 0GitHub stars: 3
- Spatial Superposition Entanglement GenerationMethodology for generating entanglement during distribution by exploiting spatial superposition of noisy communication links — transforming quantum noise into a constructive resourceVotes: 0GitHub stars: 3
- Self Sifting QkdSelf-Sifting Quantum Key Distribution methodology — a two-way QKD protocol where all sifting and eavesdropper detection are performed exclusively by the receiver, eliminating mode-dependent attack vectors and utilizing normally-discarded rounds for security verification.Votes: 0GitHub stars: 3
- Qubo Alns Hurricane RestorationQuantum Inspired QUBO Assisted ALNS framework for reliability-driven hurricane restoration of distribution networks. Combines quantum-inspired quadratic unconstrained binary optimization with adaptive large neighborhood search for power grid repair scheduling. Use when optimizing post-disaster power system restoration with crew logistics, feeder topology, and electrical feasibility constraints.Votes: 0GitHub stars: 3
- Quantum Safe Control SystemsSafe deployment patterns for quantum control policies in cyber-physical systems. Covers Q-DASC discrepancy-attributed safe quantum control framework, Simplex architecture for quantum-classical switching, and certified safety layers for variational quantum circuit controllers. Based on arXiv:2606.28834 (Q-DASC) and arXiv:2606.31056 (Simplex Q-CPS).Votes: 0GitHub stars: 3
- Quantum On Hardware Qnn TrainingScalable on-hardware quantum neural network training methodology using Butterfly circuits, layer-wise optimization, and parallelized parameter-shift rules. Reduces gradient estimation cost from O(n²) to O(log n).Votes: 0GitHub stars: 3
- Quantum Nisq Resilience BenchmarkNISQ时代量子算法鲁棒性基准测试方法论。核心发现：表达力-相干性权衡(expressibility-coherence trade-off)、SWAP税分析、HE-VQNN vs WS-QAOA硬件效率对比。适用于量子组合优化硬件评估、NISQ设备选型、金融量子算法部署决策。arXiv: 2606.07727Votes: 0GitHub stars: 3
- Quantum Network Systems EngineeringQuantum network performance metrics, architecture design, and systems engineering patterns for distributed quantum computing. Covers entanglement distribution, error modeling, and network reliability analysis. Activation: quantum network, quantum internet, distributed quantum computing, quantum repeaters, entanglement distribution, quantum network metrics.Votes: 0GitHub stars: 3
- Quantum Network Performance MetricsStructured monitoring framework for quantum networks with standardized performance metrics including quality (entanglement fidelity, QBER), throughput/latency (entanglement rate, waiting time), timing (coincidence window, jitter), and exogenous factors (temperature, humidity, vibrations). Enables real-time observability, fault diagnosis, adaptive timing, and entanglement routing. Activation: quantum network monitoring, quantum network metrics, QBER monitoring, entanglement fidelity tracking, ...Votes: 0GitHub stars: 3
- Quantum Iomt SecurityPost-quantum cryptography and edge-native security patterns for Internet of Medical Things (IoMT) systems, including federated learning, PQC migration, and Kubernetes-based orchestration.Votes: 0GitHub stars: 3
- Quantum Hilbert Schmidt SpeedHilbert-Schmidt Speed (HSS) contractivity analysis for quantum channels — proves HSS contracts under unital CPTP maps, enabling non-Markovianity detection and discrimination of unital vs non-unital Markovian dynamics. Activation: hilbert schmidt speed, quantum channel contractivity, non-Markovianity detection, CPTP maps, open quantum systems, quantum dynamics monitoring.Votes: 0GitHub stars: 3
- Quantum Finance Stack AnalysisFinancial computation stack framework for evaluating quantum advantage across five finance domains: portfolio optimisation, derivative pricing, risk estimation, quantum ML, and post-quantum security. Provides structured methodology for assessing when quantum computing offers real value in financial applications.Votes: 0GitHub stars: 3
- Quantum Certification FpgaQAccCert methodology — hybrid quantum certification framework using FPGA + AI for entanglement verification via CHSH inequality. Applicable to quantum software engineering (QSE), NISQ hardware certification, and LLM-guided quantum parameter optimization. (arXiv: 2607.07597)Votes: 0GitHub stars: 3
- Q Dasc Safe Quantum ControlQ-DASC methodology for safe deployment of variational quantum circuit policies in physics-constrained control systems, with certified classical safety layers that handle model misspecification.Votes: 0GitHub stars: 3
- Post Quantum Pharmacovigilance PipelinePost-quantum secure pharmacovigilance data pipeline methodology using ML-KEM-768, ML-DSA-65, HKDF-SHA-256, and AES-256-GCM. Educational prototype for healthcare data pipeline security in the post-quantum era. Covers component architecture, file format support, and performance benchmarking.Votes: 0GitHub stars: 3
- Post Quantum Iot HealthcarePost-quantum cryptography (PQC) migration framework for Internet of Medical Things (IoMT) with edge-native federated learning securityVotes: 0GitHub stars: 3
- Permutation Invariant Qec RecoveryQuantum Error Recovery (QER) methodology for permutation-invariant (PI) quantum codes under correlated noise. Uses channel-aware recovery maps with tunable PI code parameters to achieve fidelity beyond noise-independent QEC. Covers CAD code family construction, coherent recovery circuit compilation, and low-overhead implementation.Votes: 0GitHub stars: 3
- Neural Network Pruning Via Qubo Optimization**arXiv ID:** 2604.05856 **Authors:** Osama Orabi, Artur Zagitov, Hadi Salloum, Viktor A. Lobachev, Kasymkhan Khubiev, Yaroslav Kholodov **Published:** 2026-04-07T13:16:40Z **Abstract:** Neural network pruning can be formulated as a combinatorial optimization problem, yet most existing approaches rely on greedy heuristics that ignore complex interactions between filters. Formal optimization methods such as Quadratic Unconstrained Binary Optimization (QUBO) provide a principled alternative but...Votes: 0GitHub stars: 3