Documentation

Docs, README files, API references, tutorials, specs, and changelogs

skills in category: 16,081
pages available: 671

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 browser

Browse documentation skills

Showing 5,857–5,880 of 16,081 skills

Harness Vla Steering Frozen Vlas Memory Guided AgentsAMemory-augmented agentic framework that exposes a frozen VLA as a retryable contact-rich primitive composed with analytic primitives. Learns operating range from execution traces and failure models. +38.6pp on LIBERO-Pro, +25.4pp on RoboCasa365. Activation: vision-language-action, memory-guided agents, manipulation primitives, frozen VLA, robot manipulation.documentationperformanceVotes: 0GitHub stars: 3
Evodrc A Self Evolving Agentic Framework For AutomASkill generated from arXiv paper 2607.20019: EvoDRC: A Self-Evolving Agentic Framework for Automated DRC Violation RepairdocumentationgonodeVotes: 0GitHub stars: 3
Agentic Control MemoryASkill for AI agent capabilitiesdocumentationrailsdocumentationVotes: 0GitHub stars: 3
Agent Memory ForgettingAImplement adaptive memory forgetting for autonomous AI agents. Use when building long-horizon conversational agents, managing agent memory growth, preventing false memory propagation, or implementing relevance-guided memory scoring. Based on arXiv:2604.02280 - Novel Memory Forgetting Techniques for Autonomous AI Agents.documentationperformancedocumentationVotes: 0GitHub stars: 3
Many Body Super SubradianceAMany-body super- and subradiance in ordered atomic arrays. Studies collective light-matter interactions in subwavelength-spaced atom arrays with programmable photon-mediated interactions. Activation: superradiance, subradiance, ordered atomic arrays, many-body quantum opticsdocumentationVotes: 0GitHub stars: 3
Neural Enquirer Learning To Query Tables With Natural LanguageA**arXiv ID:** 1512.00965 **Authors:** Pengcheng Yin, Zhengdong Lu, Hang Li, Ben Kao **Published:** 2015-12-03T06:46:27Z **Abstract:** We proposed Neural Enquirer as a neural network architecture to execute a natural language (NL) query on a knowledge-base (KB) for answers. Basically, Neural Enquirer finds the distributed representation of a query and then executes it on knowledge-base tables to obtain the answer as one of the values in the tables. Unlike similar efforts in end-to-end training...documentationVotes: 0GitHub stars: 3
Skills DirectorySkills Directory Look up any of 103,619 scanned skills — grade, score, and every finding. Free.Check a skill
Pinns Medical ModelingAPhysics-Informed Neural Networks (PINNs) for medical modeling and biomedical simulation. Solve differential equations governing physiological processes (cardiovascular, neural, pharmacokinetic) using neural networks that embed physical laws as constraints. Use when: (1) Modeling patient-specific physiology, (2) Solving inverse problems in biomechanics, (3) Drug pharmacokinetic modeling, (4) Cardiac or neural dynamics simulation with limited data.documentationpythongoVotes: 0GitHub stars: 3
Enhancing Personalized Bladder Cancer Treatment ThADerived from arXiv:2607.16916 - Enhancing Personalized Bladder Cancer Treatment Through Reinforcement Learning: A Recurrent Patient State Transition Decision Support FrameworkdocumentationVotes: 0GitHub stars: 3
Grid Cell Normative Theory ReviewA规范网格细胞理论综述：探讨网格细胞表征的计算原理和神经编码。涵盖路径整合、生物合理性编码、非线性解码及任务优化神经网络整合。适用于计算神经科学、神经编码研究、空间导航机制。documentationVotes: 0GitHub stars: 3
Simple Opd On Policy DistillationASimple-OPD for OPD warm-up with LoRA and teacher CoT.documentationVotes: 0GitHub stars: 3
Rankingenhanced Anomaly Detection Using Active Learningassisted Attention Adversarial Dual AutoencodersA**arXiv ID:** 2511.20480 **Authors:** Sidahmed Benabderrahmane, James Cheney, Talal Rahwan **Published:** 2025-11-25T16:42:12Z **Abstract:** Advanced Persistent Threats (APTs) pose a significant challenge in cybersecurity due to their stealthy and long-term nature. Modern supervised learning methods require extensive labeled data, which is often scarce in real-world cybersecurity environments. In this paper, we propose an innovative approach that leverages AutoEncoders for unsupervised anomal...documentationdatabasesecurityVotes: 0GitHub stars: 3
Ice ReviewAICE review workflow for consolidating knowledge from completed tasks into reusable memory and future leverage.documentationgotestingVotes: 0GitHub stars: 3
Hopfield Temporal ComplexityA**来源论文：** arXiv:2406.12895 - Temporal Complexity of a Hopfield-Type Neural Model in Random and Scale-Free GraphsdocumentationpythongoVotes: 0GitHub stars: 3
Empirical Investigation Into Configuring Echo State Networks For Representative Benchmark Problem DomainsA**arXiv ID:** 2508.10887 **Authors:** Brooke R. Weborg, Gursel Serpen **Published:** 2025-08-14T17:55:47Z **Abstract:** This paper examines Echo State Network, a reservoir computer, performance using four different benchmark problems, then proposes heuristics or rules of thumb for configuring the architecture, as well as the selection of parameters and their values, which are applicable to problems within the same domain, to help serve to fill the experience gap needed by those entering this ...documentationgoperformanceVotes: 0GitHub stars: 3
Deep Tracking Seeing Beyond Seeing Using Recurrent Neural NetworksA**arXiv ID:** 1602.00991 **Authors:** Peter Ondruska, Ingmar Posner **Published:** 2016-02-02T16:10:16Z **Abstract:** This paper presents to the best of our knowledge the first end-to-end object tracking approach which directly maps from raw sensor input to object tracks in sensor space without requiring any feature engineering or system identification in the form of plant or sensor models. Specifically, our system accepts a stream of raw sensor data at one end and, in real-time, produces an ...documentationVotes: 0GitHub stars: 3
Arxiv 2608 05900v1 Cohorthijack Robustness Of Single Cell AnnotationA**arXiv ID:** 2608.05900v1 **Authors:** Arash Vashagh, Yasmin Vashagh **URL:** http://arxiv.org/abs/2608.05900v1 **Utility Score:** 1.00documentationVotes: 0GitHub stars: 3
Arxiv 2608 05900 Cohorthijack Robustness Of Single Cell AnnotationACohortHijack: Robustness of Single Cell Annotation to Companion Cell Removal (arXiv: 2608.05900)documentationVotes: 0GitHub stars: 3
Gear Grounding Evidence Aware RewardAGrounding Evidence-Aware Reward for Long-Context Reasoning to Reduce Repetitive CopyingdocumentationapiperformanceVotes: 0GitHub stars: 3
Full Stack Fp4 PretrainingAFull-Stack FP4 pretraining framework — first complete NVFP4 LLM pretraining resolving stability bottlenecks in linear projections (LoRA-SVD), optimizers (AdamW second-moment transform, Muon Newton-Schulz), and attention (mixed-precision with forward-backward alignment).documentationgoperformanceVotes: 0GitHub stars: 3
Flow Matching In Context Priors Brain DynamicsAFlow Matching with In-Context Priors for Out-of-Distribution Brain Dynamics - First generative model of whole-cortex fMRI dynamics for unseen cognitive tasks, advancing counterfactual neuroscience and data-driven experimental design.documentationgoVotes: 0GitHub stars: 3
Flow Matching In Context Brain DynamicsAFlow Matching with In-Context Priors for Out-of-Distribution Brain Dynamics methodology — per-timestep conditioned diffusion transformer for generating realistic fMRI during unseen cognitive tasks using compositional language and spatial priors.documentationpythongoVotes: 0GitHub stars: 3
Input Specific Neural NetworksA**arXiv ID:** 2503.00268 **Authors:** Asghar A. Jadoon, D. Thomas Seidl, Reese E. Jones, Jan N. Fuhg **Published:** 2025-03-01T00:57:16Z **Abstract:** The black-box nature of neural networks limits the ability to encode or impose specific structural relationships between inputs and outputs. While various studies have introduced architectures that ensure the network's output adheres to a particular form in relation to certain inputs, the majority of these approaches impose constraints on only ...documentationawsVotes: 0GitHub stars: 3
Dynamic Pauli Constraints QcADynamic Pauli Constraints methodology for quantum circuit design - software-oriented model motivated by near-term hardware constraintsdocumentationgoexpressVotes: 0GitHub stars: 3
Dual Envelope Mpc Drifting ControlADual-envelope constrained nonlinear MPC for autonomous drifting in distributed drive electric vehicles. Covers saddle point modeling, phase plane envelope construction, NMPC with envelope constraints, and extreme vehicle maneuver control. Use when working with: (1) vehicle dynamics control, (2) nonlinear MPC, (3) autonomous drifting, (4) distributed drive systems, (5) envelope-based safety constraints, or (6) yaw moment control for extreme maneuvers.documentationpythongoVotes: 0GitHub stars: 3