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Claude Skills by VectorSpaceLab
github.com/VectorSpaceLab6,028 skills74 installs15,373 views
- Int8 Benchmarking"Routes INT8 calibration, calibration-image preparation, andVotes: 0GitHub stars: 247
- Model Conversion"Routes DeepStream-Yolo exporter selection, ONNX conversion, andVotes: 0GitHub stars: 247
- Multi Gie"Routes DeepStream-Yolo tasks that run multiple detectors in oneVotes: 0GitHub stars: 247
- Deepvariant"Use DeepVariant and DeepTrio for genomics variant-calling commandVotes: 0GitHub stars: 247
- Analysis Visualization"Plan and interpret DeepVariant VCF stats, runtime-by-region,Votes: 0GitHub stars: 247
- Germline Calling"Plan, validate, and adapt standard DeepVariant germlineVotes: 0GitHub stars: 247
- Pangenome Aware Calling"Use pangenome-aware DeepVariant with GBZ inputs andVotes: 0GitHub stars: 247
- Pipeline Stages"Understand and adapt DeepVariant make_examples, call_variants,Votes: 0GitHub stars: 247
- Training Custom Models"Plan DeepVariant labeled-example generation, custom training,Votes: 0GitHub stars: 247
- Trio Calling"Plans DeepTrio trio and duo variant-calling workflows with childVotes: 0GitHub stars: 247
- Deepxde"Use DeepXDE for scientific machine learning, PINNs,Votes: 0GitHub stars: 247
- Backend And Configuration"Install and select DeepXDE tensor backends and configure dtype,Votes: 0GitHub stars: 247
- Operator Learning"Use DeepXDE operator-learning data classes and networks: DeepONet,Votes: 0GitHub stars: 247
- Pinn Problem Setup"Assemble DeepXDE forward and inverse PINN problems with geometry,Votes: 0GitHub stars: 247
- Training Workflows"Guide DeepXDE model lifecycle, optimizers, callbacks, prediction,Votes: 0GitHub stars: 247
- Deepxiv Sdk"Use the DeepXiv SDK for citation-aware academic and web researchVotes: 0GitHub stars: 247
- Cli And Operations"Operate the DeepXiv command-line interface safely: choose commandsVotes: 0GitHub stars: 247
- Optional Local Agent"Operate DeepXiv's optional OpenAI-compatible LangGraph ReAct AgentVotes: 0GitHub stars: 247
- Reader And Paper Research"Use the DeepXiv Reader for hosted arXiv/web agentic research,Votes: 0GitHub stars: 247
- Denoising Diffusion Pytorch"Use denoising-diffusion-pytorch for PyTorch DDPM/DDIM imageVotes: 0GitHub stars: 247
- Advanced Variants"Advanced denoising-diffusion-pytorch variants: Karras UNets,Votes: 0GitHub stars: 247
- Conditioning Guidance"Use denoising-diffusion-pytorch conditioning and guidance APIs:Votes: 0GitHub stars: 247
- Image Diffusion"Operate 2D image DDPM/DDIM workflows withVotes: 0GitHub stars: 247
- Sequence Diffusion"Use denoising-diffusion-pytorch for 1D sequence diffusion withVotes: 0GitHub stars: 247
- Det3d"Guide Det3D PyTorch 3D object-detection workflows acrossVotes: 0GitHub stars: 247
- Configuration And Models"Safely inspect and validate Det3D Python configurations,Votes: 0GitHub stars: 247
- Datasets And Preprocessing"Route Det3D dataset layout, metadata conversion, annotation,Votes: 0GitHub stars: 247
- Runtime Ops"Route Det3D installation, import, CUDA extension, PyTorch ABI,Votes: 0GitHub stars: 247
- Training And Evaluation"Route Det3D training, inference, evaluation, checkpoint, resume,Votes: 0GitHub stars: 247
- Visualization And Analysis"Route Det3D LiDAR, BEV, KITTI, prediction, training-log, FLOPs,Votes: 0GitHub stars: 247
- Detectron2"Use Detectron2 for object detection, segmentation, configuration,Votes: 0GitHub stars: 247
- Configuration Model Zoo"Choose, load, inspect, modify, and validate Detectron2 Yacs,Votes: 0GitHub stars: 247
- Data Datasets"Register and validate Detectron2 datasets, metadata, COCO helpers,Votes: 0GitHub stars: 247
- Deployment Export"Export, inspect, and benchmark Detectron2 models with TorchScript,Votes: 0GitHub stars: 247
- Extension Projects"Extend Detectron2 with registries, configurable model components,Votes: 0GitHub stars: 247
- Inference Visualization"Run Detectron2 inference, inspect model outputs, and visualizeVotes: 0GitHub stars: 247
- Training Evaluation"Train, evaluate, checkpoint, and troubleshoot Detectron2 modelsVotes: 0GitHub stars: 247
- Detikzify"Load, generate, compile, rasterize, evaluate, train, and serveVotes: 0GitHub stars: 247
- Datasets And Mcts"Work with DeTikZify dataset helpers, local dataset fallbacks,Votes: 0GitHub stars: 247
- Evaluation And Metrics"Evaluate DeTikZify outputs with metric wrappers, score generatedVotes: 0GitHub stars: 247
- Inference And Rendering"Load DeTikZify models and adapters, build inference pipelines,Votes: 0GitHub stars: 247
- Training And Adapters"Prepare and reason about DeTikZify training, pretraining,Votes: 0GitHub stars: 247
- Webui"Launch and troubleshoot DeTikZify's Gradio web UI, choose modelsVotes: 0GitHub stars: 247
- Detrex"Use detrex for detection-transformer configs, training/evaluation,Votes: 0GitHub stars: 247
- Model Zoo And Converters"Route detrex model zoo selection, pretrained backbones, and safeVotes: 0GitHub stars: 247
- Package Apis"Inspect and use detrex Python APIs for layers, losses, matchers,Votes: 0GitHub stars: 247
- Tools And Demos"Routes detrex demo, analysis, visualization, benchmark planning,Votes: 0GitHub stars: 247
- Training And Configs"Plan detrex LazyConfig training, evaluation, dataset, launcher,Votes: 0GitHub stars: 247
- Dexbotic"Use Dexbotic to prepare DexData, train and serveVotes: 0GitHub stars: 247
- Data Preparation"Prepare, validate, register, and troubleshoot Dexbotic DexDataVotes: 0GitHub stars: 247