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Claude Skills by hiyenwong
github.com/hiyenwong9,934 skills5 installs19,223 views
- Gene Sharing Network Generative ModelGenerative model for bipartite gene-sharing networks explaining evolutionary patterns in viruses and mobile genetic elements. Captures scale-free gene degree and exponential genome degree distributions via horizontal gene transfer, gene capture, and loss processes. Activation: gene-sharing network, bipartite network evolution, viral genome evolution, pangenome modeling, horizontal gene transfer.Votes: 0GitHub stars: 3
- Generative Adversarial Networks With Conditional Neural Movement Primitives For An Interactive Generative Drawing Tool**arXiv ID:** 2111.14934 **Authors:** Suzan Ece Ada, M. Yunus Seker **Published:** 2021-11-29T20:20:29Z **Abstract:** Sketches are abstract representations of visual perception and visuospatial construction. In this work, we proposed a new framework, Generative Adversarial Networks with Conditional Neural Movement Primitives (GAN-CNMP), that incorporates a novel adversarial loss on CNMP to increase sketch smoothness and consistency. Through the experiments, we show that our model can be train...Votes: 0GitHub stars: 3
- Generative Modeling With Sparse TransformersSkill for AI agent capabilitiesVotes: 0GitHub stars: 3
- Generative ModelsSkill for AI agent capabilitiesVotes: 0GitHub stars: 3
- Gflowstate Training VisualizationGFlowState visual analytics system for illuminating Generative Flow Network training. Provides interactive visualizations of training states, flow distributions, and mode coverage for diagnosing mode collapse and reward hacking. Activation: GFlowState, GFlowNet visualization, generative flow networks, training visualization.Votes: 0GitHub stars: 3
- Glow Better Reversible Generative ModelsSkill for AI agent capabilitiesVotes: 0GitHub stars: 3
- Gnn Visual Category Decoding Functional NetworksGNN-based visual category decoding from fMRI functional brain networks — signed graph neural network with sparse edge masks and class-specific saliency for decoding sports, food, and vehicles from 7T fMRI data. Activation: fMRI decoding, visual category, GNN, brain network, graph neural network, saliency, functional connectivity.Votes: 0GitHub stars: 3
- Hamiltonian Emergent Deep Generative ModelsHamiltonian extraction from autonomous emergent deep generative models. Discovering implicit physical interaction laws from learned generative models using Riemannian diffusion score fields. Activation: Hamiltonian, generative model, emergent dynamics, Riemannian diffusion, score field, physics discovery, implicit interaction.Votes: 0GitHub stars: 3
- Hierarchical Text Conditional Image Generation WitSkill for AI agent capabilitiesVotes: 0GitHub stars: 3
- Hive Understanding Post Hallucination Reasoning In Vision Language ModelsHallucinations in vision language models (VLMs) are commonly treated as semantic errors, yet they often arise from partial or ambiguous visual evidence. Prior work mainly focuses on detecting or suppr. Based on arXiv:2607.07507.Votes: 0GitHub stars: 3
- Image GptSkill for AI agent capabilitiesVotes: 0GitHub stars: 3
- Learning Features By Watching Objects Move**arXiv ID:** 1612.06370 **Authors:** Deepak Pathak, Ross Girshick, Piotr Dollár, Trevor Darrell, Bharath Hariharan **Published:** 2016-12-19T20:56:04Z **Abstract:** This paper presents a novel yet intuitive approach to unsupervised feature learning. Inspired by the human visual system, we explore whether low-level motion-based grouping cues can be used to learn an effective visual representation. Specifically, we use unsupervised motion-based segmentation on videos to obtain segments, which ...Votes: 0GitHub stars: 3
- Legodiffusion Micro Serving Text To Image DiffusioText-to-image generation executes a diffusion workflow comprising multiple models centered on a base diffusion model. Existing serving systems treat e... Activation: system design, systems engineeringVotes: 0GitHub stars: 3
- Local Learning Rules Physical Generative ModelsLocal learning rules for out-of-equilibrium physical generative models using score-based generative modeling in driven nonlinear oscillator networks. Demonstrates that SGM driving protocols can be learned via local measurements without backpropagation. Activation: local learning rules, physical generative models, score-based generative, out-of-equilibrium, overdamped oscillators, MNIST generation, neuromorphic computingVotes: 0GitHub stars: 3
- Native Video Action Pretraining Generalizable Robot ControlLingBot-VA 2.0: video-action foundation model built from the ground up for robot embodiment. Semantic visual-action tokenizer, causal pretraining from scratch, sparse MoE backbone, asynchronous inference for real-time closed-loop control. Few-shot generalization across manipulation tasks. Activation: video-action model, robot control, pretraining, vision-language-action, generalizable manipulation.Votes: 0GitHub stars: 3
- Neuroflow Unified Visual Encoding DecodingNeuroFlow unified visual encoding-decoding framework using bidirectional flow matching with NeuroVAE variational backbone and XFM. Activation: neuroflow, visual encoding decoding, neural variability, neurovae, cross-modalVotes: 0GitHub stars: 3
- O Vad Industrial Video Anomaly Detection Through ODerived from arXiv:2607.18142 - O-VAD: Industrial Video Anomaly Detection through Object-Centric Tracking and ReasoningVotes: 0GitHub stars: 3
- Phantom Evidence Generative Ai False PositivesMethodology for identifying and preventing phantom evidence - false positives manufactured by generative AI that appear convincing but lack genuine evidential value due to narrow hypothesis spaces and data leakage.Votes: 0GitHub stars: 3
- Point E A System For Generating 3d Point Clouds FrSkill for AI agent capabilitiesVotes: 0GitHub stars: 3
- Pose To Biomechanics Bridging 3d Pose BiomechanicalBioModule: lightweight plug-in temporal transformer that attaches downstream of any 3D pose estimator to predict biomechanical attributes from standard 17-joint 3D skeletons. Estimator-agnostic, requires no modification of upstream pose model. Use when working with biomechanics, pose-estimation, human-motion-analysis.Votes: 0GitHub stars: 3
- Predictive Coding Equilibrium Propagation Imagenet预测编码网络（PCN）在 ImageNet 规模的训练方法，使用平衡传播（Equilibrium Propagation）实现首次大规模验证，接近反向传播性能Votes: 0GitHub stars: 3
- Qdiffusion Time SeriesQuantum generative diffusion model for time series synthesis (QDiffusion-TS). First quantum diffusion model validated on real quantum hardware (IQM processor). Replaces feed-forward components with quantum neural networks, reducing parameters by ~3 orders of magnitude. Reduces Wasserstein distance by ~44% vs classical. Use when: quantum generative modeling, time series synthesis, quantum-enhanced data augmentation, parameter-efficient diffusion models.Votes: 0GitHub stars: 3
- Ravine Ensemble Vqa OptimizationNEB-based ensemble framework for VQAs that leverages ravine-like structure of quantum cost landscapes to build resource-light ensemble predictions outperforming naive quantum alternatives.Votes: 0GitHub stars: 3
- Spike Nvpt Robust Visual PromptSpike-NVPT: Spiking Neuron-based Robust Visual Prompt Tuning. Uses Integrate-and-Fire (IF) mechanism as signal filtering layer with spiking discretization units to generate sparse binary prompts for robust vision model fine-tuning. Zero inference overhead — spiking components are training-only. First work using spiking neurons to fine-tune ANN visual models. Use when: robust visual prompt tuning, adversarial robustness, spiking neuron applications in CV, parameter-efficient fine-tuning, ANN-S...Votes: 0GitHub stars: 3
- Stable DiffusionState-of-the-art text-to-image generation with Stable Diffusion models via HuggingFace Diffusers. Use when generating images from text prompts, performing image-to-image translation, inpainting, or building custom diffusion pipelines.Votes: 0GitHub stars: 3
- Vad Industrial Video Anomaly Detection Through Object Centric Tracking ReasoningSkill derived from arXiv:2607.18142 - O-VAD: Industrial Video Anomaly Detection through Object-Centric Tracking and ReasoningVotes: 0GitHub stars: 3
- Video Generation Models As World SimulatorsSkill for AI agent capabilitiesVotes: 0GitHub stars: 3
- Vision And Language Navigation For Uavs Progress CResearch paper: Vision-and-Language Navigation for UAVs: Progress, Challenges, and a Research RoVotes: 0GitHub stars: 3
- Visual Semantic Decoding EcogVisual Semantic Decoding of Electrocorticography from Video Stimuli using End-to-End Deep Learning. Extract visual semantic categories from ECoG brain signals during video viewing using Transformer-based deep learning models. Use when working with ECoG neural decoding, brain-computer interfaces, or visual semantic classification from neural data.Votes: 0GitHub stars: 3
- What 81000 People Want From AiWhat 81,000 people want from AIVotes: 0GitHub stars: 3
- Arxiv 2609 11123v1 Herald High Fidelity Exemplar Retrieval With Adapt**arXiv ID:** 2609.11123v1 **Authors:** Sujan Chakraborty, Priyanka Saha, Saptarshi Bej **URL:** http://arxiv.org/abs/2609.11123v1 **Utility Score:** 1.00Votes: 0GitHub stars: 3
- Arxiv 2609 11234v1 Novgauge A Fine Grained Benchmark For Diagnosing L**arXiv ID:** 2609.11234v1 **Authors:** Guoqiang Zhang, Kexin Tan, Ming Zhang, Li Ju, Wenqing Jing, Zhonghan Yue, Jiayi Chen, Shiqiang Wu, Shaofan Liu, Yue Zhang, Yuankai Ying, Yang Shi, Tao Gui, Qi Zhang, Xuanjing Huang **URL:** http://arxiv.org/abs/2609.11234v1 **Utility Score:** 1.00Votes: 0GitHub stars: 3
- Arxiv 2609 11236v1 Haldetect At Imageeval 2026 Shared Tasks Answer Fi**arXiv ID:** 2609.11236v1 **Authors:** Syed Mohaiminul Hoque, Md Sakhawat Hossain **URL:** http://arxiv.org/abs/2609.11236v1 **Utility Score:** 1.00Votes: 0GitHub stars: 3
- Arxiv 2609 11242v1 From Evaluation To Enhancement Benchmarking And Im**arXiv ID:** 2609.11242v1 **Authors:** Meng Luo, Yicheng Liu, Jiahao Wang, Yuanxing Zhang, Xin Tao, Pengfei Wan, Kun Gai, Hao Fei **URL:** http://arxiv.org/abs/2609.11242v1 **Utility Score:** 1.00Votes: 0GitHub stars: 3
- Arxiv 2609 11243v1 Sci Mmr Benchmarking Multi Step Evidence Grounded**arXiv ID:** 2609.11243v1 **Authors:** Jiaqiang Li, Yajie Yang, Zhiheng Xi, Jiadong Chen, Enyu Zhou, Senjie Jin, Yang Nan, Jiazheng Zhang, Han Wang, Yanxin Li, Dingwei Zhu, Bicheng Deng, Yuhui Wang, Xiang Zheng, Qi Zhang, Lei Bai, Xingjun Ma, Tao Gui **URL:** http://arxiv.org/abs/2609.11243v1 **Utility Score:** 1.00Votes: 0GitHub stars: 3
- Arxiv 2609 11282v1 When Does Text Inform Benchmarking Information The**arXiv ID:** 2609.11282v1 **Authors:** Emma Andrews, Gianmarco Mengaldo **URL:** http://arxiv.org/abs/2609.11282v1 **Utility Score:** 1.00Votes: 0GitHub stars: 3
- Arxiv 2609 11291v1 Off Target Effects Of Response Style Alignment In**arXiv ID:** 2609.11291v1 **Authors:** Hyojung Han **URL:** http://arxiv.org/abs/2609.11291v1 **Utility Score:** 1.00Votes: 0GitHub stars: 3
- Arxiv 2609 11318v1 Mr Lhdr A Benchmark For Multimodal Real World Long**arXiv ID:** 2609.11318v1 **Authors:** Minghao Guo, Meng Cao, Sui Zhao, Siyu Ning, Xin Wang, Haoze Zhao, Jiaxuan Yang, Haihong Hao, Mingfei Han, Shunlin Rong, Haijun Wu, Xiaodan Liang, Xiaojun Chang **URL:** http://arxiv.org/abs/2609.11318v1 **Utility Score:** 1.00Votes: 0GitHub stars: 3
- Arxiv 2609 11504v1 Defiflowbench Benchmarking And Improving Safe Exec**arXiv ID:** 2609.11504v1 **Authors:** Abhinav Rajeev Kumar, Harshit Arora, Varun Singh, Manikandan Nanjappan **URL:** http://arxiv.org/abs/2609.11504v1 **Utility Score:** 1.00Votes: 0GitHub stars: 3
- Arxiv 2609 11660v1 Autonomy Social Norms And Alignment Towards A Deve**arXiv ID:** 2609.11660v1 **Authors:** Marica Notte, Ludovica Marinucci, Vieri Giuliano Santucci **URL:** http://arxiv.org/abs/2609.11660v1 **Utility Score:** 1.00Votes: 0GitHub stars: 3
- Arxiv 2609 11860v1 Explainability Assistant A Conversational Xai Inte**arXiv ID:** 2609.11860v1 **Authors:** Rodion Krjutškov, Eduard Barbu, Nikos Sakkas, Sofia Yfanti **URL:** http://arxiv.org/abs/2609.11860v1 **Utility Score:** 1.00Votes: 0GitHub stars: 3
- Arxiv 2609 11897v1 Causalarena Benchmarking Causal Discovery In The F**arXiv ID:** 2609.11897v1 **Authors:** Zi-Rong Li, Si-Yang Liu, Tian-Zuo Wang, Han-Jia Ye **URL:** http://arxiv.org/abs/2609.11897v1 **Utility Score:** 1.00Votes: 0GitHub stars: 3
- Arxiv 2609 11911v1 Artificial Id Drive And Persistent Alignment In Ag**arXiv ID:** 2609.11911v1 **Authors:** Yakov Pyotr Shkolnikov **URL:** http://arxiv.org/abs/2609.11911v1 **Utility Score:** 1.00Votes: 0GitHub stars: 3
- Arxiv 2609 15289v1 Math For Ai Safety An Invitation For Mathematician**arXiv ID:** 2609.15289v1 **Authors:** Lionel Levine **URL:** http://arxiv.org/abs/2609.15289v1 **Utility Score:** 1.00Votes: 0GitHub stars: 3
- Arxiv 2609 15296v1 Reason What Matters Retrieval Grounded Reasoning F**arXiv ID:** 2609.15296v1 **Authors:** Mingzhou Jiang, Peixi Wu, Hang Cheng, Yunhao Zhou, Biao Yang, Wei Yuan, Yun Li, Fan Yang, Wenwu Ou, Honghui He **URL:** http://arxiv.org/abs/2609.15296v1 **Utility Score:** 1.00Votes: 0GitHub stars: 3
- Arxiv 2609 15530v1 Option Aware Retrieval And Task Specific Vlm Adapt**arXiv ID:** 2609.15530v1 **Authors:** Tristan Kirscher, Niklas C. Koser, Soren Pirk **URL:** http://arxiv.org/abs/2609.15530v1 **Utility Score:** 1.00Votes: 0GitHub stars: 3
- Arxiv 2609 15533v1 The Misery Of Mechanistic Interpretability A Forma**arXiv ID:** 2609.15533v1 **Authors:** Tobias Ladner, Matthias Althoff **URL:** http://arxiv.org/abs/2609.15533v1 **Utility Score:** 1.00Votes: 0GitHub stars: 3
- Arxiv 2609 15625v1 Fedltlib A Comprehensive Benchmark For Federated L**arXiv ID:** 2609.15625v1 **Authors:** Changkun Lin, Junxiao Wang **URL:** http://arxiv.org/abs/2609.15625v1 **Utility Score:** 1.00Votes: 0GitHub stars: 3
- Arxiv 2609 15669v1 Benchmarking Intra Patient 3d Deformable Multimoda**arXiv ID:** 2609.15669v1 **Authors:** Matteo Barbieri, Giammarco La Barbera, Juan Pablo De La Plata, Sabine Sarnacki, Isabelle Bloch, Pietro Gori **URL:** http://arxiv.org/abs/2609.15669v1 **Utility Score:** 1.00Votes: 0GitHub stars: 3
- Arxiv 2609 15695v1 Notevqa Benchmarking Vlms On Real Life Questions F**arXiv ID:** 2609.15695v1 **Authors:** Haonan Jiang, Guojian Zhan, Jiancong Xie, Shijun Wan, Dongiia Zhao, Cheng Chen, Yahui Liu, Yao Hu, Chuan Mu **URL:** http://arxiv.org/abs/2609.15695v1 **Utility Score:** 1.00Votes: 0GitHub stars: 3