查找技能

Routes face-alignment installation, import checks, landmark-detection workflows, and detector-backend selection.

中文简介正在准备中。当前显示原文说明。

Operate the Fengshenbang-LM Fengshen package for pipelines, model families, data/training utilities, examples, and conversion planning.

中文简介正在准备中。当前显示原文说明。

Route fastdup workflows for visual dataset curation, annotation-driven analysis, embeddings and search, and video or exchange plumbing.

中文简介正在准备中。当前显示原文说明。

Use the faster-whisper package for CTranslate2-backed Whisper transcription, model selection, CPU/CUDA setup, audio utilities, VAD, timestamps, and conversion guidance.

中文简介正在准备中。当前显示原文说明。

Repository operating skill for using Flow Forecast's flood_forecast package for time-series forecasting, data preparation, training, inference, evaluation, and hydrology-oriented advanced models.

中文简介正在准备中。当前显示原文说明。

Create and troubleshoot Folium maps, GeoJSON layers, choropleths, and plugins for browser-rendered Leaflet output.

中文简介正在准备中。当前显示原文说明。

Use face.evoLVe for high-performance face recognition workflows across alignment, data preparation, PyTorch training, feature verification, and Paddle deployment.

中文简介正在准备中。当前显示原文说明。

Guides FastVideo video, image, and audio generation, config-first inference, serving, training, distillation, evaluation, and performance workflows.

中文简介正在准备中。当前显示原文说明。

Use this skill for EverOS local-first Markdown memory service setup, HTTP memory and knowledge APIs, cascade/OME operations, and observability integration.

中文简介正在准备中。当前显示原文说明。

Routes FCOS object-detection repo tasks for inference demos, config/data setup, training/evaluation, ONNX export, and legacy PyTorch internals.

中文简介正在准备中。当前显示原文说明。

Routes evo trajectory-evaluation workflows for APE/RPE, trajectory I/O, result analysis, configuration, and programmatic usage.

中文简介正在准备中。当前显示原文说明。

Create, polish, and troubleshoot figures4papers-style publication-ready matplotlib figures, including grouped bars, trends, radar charts, heatmaps, concept diagrams, manifolds, and high-DPI/vector export workflows.

中文简介正在准备中。当前显示原文说明。

Use FlagEmbedding for embedding, reranking, retrieval evaluation, and fine-tuning workflows.

中文简介正在准备中。当前显示原文说明。

Use Flair for NLP annotation, embeddings, text/sequence model prediction, corpus loading, training/fine-tuning, HunFlair biomedical NER/linking, and production troubleshooting.

中文简介正在准备中。当前显示原文说明。

Guides Researchers through Faiss installation, dense and binary similarity search, index training and composition, persistence and evaluation, and explicitly gated CPU/GPU interoperability workflows.

中文简介正在准备中。当前显示原文说明。

Foolbox operating guidance for wrapping vision models, running adversarial attacks, measuring clean and robust accuracy, handling NumPy/PyTorch/TensorFlow/JAX backends, and loading Foolbox-compatible model-zoo repositories.

中文简介正在准备中。当前显示原文说明。

Router for FunASR speech workflows: local transcription, subtitles, services, vLLM, normalization, and training/export.

中文简介正在准备中。当前显示原文说明。

Use Gaussian-SLAM for CUDA RGB-D dense SLAM, Gaussian-splatting mapping, dataset/configuration preflight, checkpoint evaluation, reconstruction metrics, and global-map refinement.

中文简介正在准备中。当前显示原文说明。

Route GeoAI geospatial data, inference, training, foundation-model, and integration workflows.

中文简介正在准备中。当前显示原文说明。

Operate and extend GeoNode geospatial content-management deployments, resource APIs, uploads, metadata/catalogues, GeoServer security, harvesting, and administration with explicit service and safety gates.

中文简介正在准备中。当前显示原文说明。

Route GenAI Processors tasks to the right workflow guide.

中文简介正在准备中。当前显示原文说明。

Use ExecuTorch to export PyTorch models to edge runtime artifacts, build host/device runtimes, choose delegates, profile/debug execution, and operate specialized Qualcomm, Cortex-M, LLM, and binary-size workflows.

中文简介正在准备中。当前显示原文说明。

Guides TensorFlow Fast Style Transfer training, image stylization, and video stylization workflows from checkpoints, VGG/COCO assets, and script-oriented CLIs.

中文简介正在准备中。当前显示原文说明。

Guides Gensim topic modelling, document indexing, embeddings, similarity retrieval, downloader, and script workflows for Python NLP and IR tasks.

中文简介正在准备中。当前显示原文说明。