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Claude Skills by VectorSpaceLab
github.com/VectorSpaceLab6,028 skills74 installs15,373 views
- Stability Ai Generative Models"Use Stability AI's generative-models package for SDXL inferenceVotes: 0GitHub stars: 247
- Demos And Watermarking"Use and adapt generative-models demo UI routes and invisibleVotes: 0GitHub stars: 247
- Inference Api"Use the installed sgm.inference.api Python API for SDXLVotes: 0GitHub stars: 247
- Training And Configs"Author, inspect, adapt, and troubleshoot config-driven trainingVotes: 0GitHub stars: 247
- Video Sampling"Run, adapt, and troubleshoot standalone SVD, SVD-XT, SV3D, SV4D,Votes: 0GitHub stars: 247
- Stable Baselines3"Use Stable-Baselines3 for PyTorch reinforcement learning: trainVotes: 0GitHub stars: 247
- Environments And Vectorization"Create and validate Gymnasium custom environments forVotes: 0GitHub stars: 247
- Evaluation And Persistence"Evaluate Stable-Baselines3 policies, configure callbacks/logging,Votes: 0GitHub stars: 247
- Policies And Customization"Customize Stable-Baselines3 policies, feature extractors,Votes: 0GitHub stars: 247
- Training And Algorithms"Choose and train Stable-Baselines3 algorithms, instantiateVotes: 0GitHub stars: 247
- Stable Diffusion Videos"Routes Stable Diffusion video, image, audio-synced interpolation,Votes: 0GitHub stars: 247
- Generation"Routes Stable Diffusion walk, music-video, still-image,Votes: 0GitHub stars: 247
- Ui"Routes Gradio Interface launch, example app adaptation, and UIVotes: 0GitHub stars: 247
- Stable Diffusion Webui"Use and maintain AUTOMATIC1111 Stable Diffusion WebUI workflows,Votes: 0GitHub stars: 247
- Api Automation"Build and validate Stable Diffusion WebUI REST API calls forVotes: 0GitHub stars: 247
- Assets And Models"Manage Stable Diffusion WebUI checkpoints, VAEs, embeddings,Votes: 0GitHub stars: 247
- Extension Scripting"Author, debug, and package stable-diffusion-webui scripts andVotes: 0GitHub stars: 247
- Launch And Config"Launch Stable Diffusion WebUI safely in UI, API, and API-onlyVotes: 0GitHub stars: 247
- Training And Postprocessing"Use textual inversion and hypernetwork create/train endpoints,Votes: 0GitHub stars: 247
- Stanford Alpaca"Routes Stanford Alpaca instruction-data, Self-Instruct generation,Votes: 0GitHub stars: 247
- Dataset And Prompts"Guides Stanford Alpaca dataset schema, prompt formatting, labelVotes: 0GitHub stars: 247
- Fine Tuning"Supervised fine-tuning of LLaMA/OPT-style causal LMs with AlpacaVotes: 0GitHub stars: 247
- Instruction Generation"Guide Self-Instruct-style instruction data generation with promptVotes: 0GitHub stars: 247
- Weight Diff Recovery"Guide Alpaca weight-diff creation and recovery, path-roleVotes: 0GitHub stars: 247
- Stanza"Use Stanza for neural NLP pipelines, CoreNLP client workflows,Votes: 0GitHub stars: 247
- Corenlp Client"Operate Stanza's CoreNLP client, Java server lifecycle, patternVotes: 0GitHub stars: 247
- Documents And ConlluManipulate Stanza Documents and CoNLL-U safely.Votes: 0GitHub stars: 247
- Pipelines And Resources"Operate Stanza pipelines, multilingual routing, resourceVotes: 0GitHub stars: 247
- Training And Data Prep"Guide safe Stanza training, evaluation, and dataset preparationVotes: 0GitHub stars: 247
- Visualization And Demos"Safely adapt Stanza demos and visualization workflows into scriptsVotes: 0GitHub stars: 247
- Star Vla"Operate StarVLA for vision-language-action model development,Votes: 0GitHub stars: 247
- Benchmark Evaluation"Plan StarVLA simulation benchmark evaluations and two-environmentVotes: 0GitHub stars: 247
- Data Integration"Integrate LeRobot-format StarVLA datasets, modality schemas, robotVotes: 0GitHub stars: 247
- Model Frameworks"Choose and inspect StarVLA model frameworks, registry names,Votes: 0GitHub stars: 247
- Policy Deployment"Serve StarVLA checkpoints over websocket or GR00T-compatible ZMQVotes: 0GitHub stars: 247
- Training Config"Plan StarVLA training, co-training, YAML overrides, DeepSpeedVotes: 0GitHub stars: 247
- Stardist"Self-contained operating guidance for StarDist 0.9.2: CPU-verifiedVotes: 0GitHub stars: 247
- 2d Workflows"Use for StarDist 2D workflows: Config2D data contracts, trainingVotes: 0GitHub stars: 247
- 3d Workflows"Route StarDist 3D users through Config3D, ray and anisotropyVotes: 0GitHub stars: 247
- Deployment Integration"Route StarDist file prediction, local-model loading, BioImage.IOVotes: 0GitHub stars: 247
- Evaluation Geometry"Route StarDist label validation, star-distance representations,Votes: 0GitHub stars: 247
- Statsforecast"Use Nixtla StatsForecast for statistical time-series forecasting,Votes: 0GitHub stars: 247
- Core Forecasting"Operate normal StatsForecast pandas/polars panel forecastingVotes: 0GitHub stars: 247
- Distributed Execution"Use local parallel and optional Dask/Ray/Spark StatsForecastVotes: 0GitHub stars: 247
- Feature Engineering"Generate StatsForecast synthetic fixtures, MSTL trend/seasonalVotes: 0GitHub stars: 247
- Model SelectionChoose and configure StatsForecast model classes and direct model APIs.Votes: 0GitHub stars: 247
- Statsmodels"Use statsmodels for statistical modeling, econometrics,Votes: 0GitHub stars: 247
- Datasets Results Graphics"Use statsmodels datasets, result objects, predictions, summaries,Votes: 0GitHub stars: 247
- Development And Testing"Use statsmodels source-development guidance for Meson/CythonVotes: 0GitHub stars: 247
- Discrete And Count Models"Use statsmodels discrete choice and count model APIs for Logit,Votes: 0GitHub stars: 247