Results for “histogram”

Foundational plotting library. Create line plots, scatter, bar, histograms, heatmaps, 3D, subplots, export PNG/PDF/SVG, for scientific visualization and publication figures.

Visualize training metrics, debug models with histograms, compare experiments, visualize model graphs, and profile performance with TensorBoard.

Extracts protocol message flow from source code, RFCs, academic papers, pseudocode, or formal models (ProVerif/Tamarin) and generates Mermaid sequence diagrams with cryptographic annotations.

Process whole slide images for digital pathology: detect tissue, extract tiles, and prepare datasets for deep learning pipelines.

Digital pathology image processing toolkit for whole slide images (WSI). Use this skill when working with histopathology slides, processing H&E or IHC stained tissue images, extracting tiles from gigapixel pathology images, detecting tissue regions, segmenting tissue masks, or preparing datasets for computational pathology deep learning pipelines. Applies to WSI formats (SVS, TIFF, NDPI), tile-based analysis, and histological image preprocessing workflows.

Heatmap component for displaying calendar-style data visualization like GitHub contribution graphs. Invoke when user needs to visualize time-series data or activity patterns in Naive UI.

Generates diagrams and visuals from code or descriptions, routing to specialized tools for hand-drawn, formal, academic, or architectural output.

Full-featured computational pathology toolkit. Use for advanced WSI analysis including multiplexed immunofluorescence (CODEX, Vectra), nucleus segmentation, tissue graph construction, and ML model training on pathology data. Supports 160+ slide formats. For simple tile extraction from H&E slides, histolab may be simpler.

Loads and processes whole-slide pathology images, builds spatial graphs, trains deep learning models, and analyzes multiplexed immunofluorescence data across 160+ slide formats.

Use when extracting per-position residue-height and indel-rate data from a profile HMM for sequence-logo visualization.

Extract and preprocess tiles from whole-slide images (WSI) with histolab — OpenSlide-backed slide loading, tissue detection and masks, Random/Grid/Score tile extraction, and image/morphological filters for H&E preprocessing. Use when the user needs lightweight WSI slide preprocessing — building tile datasets for ML training, tissue segmentation, or quick tile-based inspection of histopathology slides. For end-to-end computational-pathology, deep-learning model training, nucleus segmentation, or multiplexed/spatial-proteomics (CODEX, Vectra) pipelines prefer alterlab-pathml instead. Part of the AlterLab Academic Skills suite.

Use when you need to identify, view, or copy HTS-format files (BAM, CRAM, VCF, BCF). Use for inspecting file headers or viewing textual representations of binary HTS files.

GitHub 이슈 그래프를 읽어 현재 작업 맥락, 우선순위, 시각화, 다음 행동을 한 번에 안내합니다. "무엇부터 할까", "이슈 온보딩", "이슈 현황", "다음 작업 추천", "그래프 보고 시작", "$issue-onboard" 요청에 사용합니다. 그래프가 없으면 issue-sync로 완전 스냅샷을 만든 뒤 HTML·이미지와 최대 6개의 우선순위를 보여 주고, 착수·열린 PR 병합·새 이슈 등록 중 다음 행동을 묻습니다.

Digital pathology image processing toolkit for whole slide images (WSI). Use this skill when working with histopathology slides, processing H&E or IHC stained tissue images, extracting tiles from gigapixel pathology images, detecting tissue regions, segmenting tissue masks, or preparing datasets for computational pathology deep learning pipelines. Applies to WSI formats (SVS, TIFF, NDPI), tile-based analysis, and histological image preprocessing workflows.

Simplest distributed training API. 4 lines to add distributed support to any PyTorch script. Unified API for DeepSpeed/FSDP/Megatron/DDP. Automatic device placement, mixed precision (FP16/BF16/FP8). Interactive config, single launch command. HuggingFace ecosystem standard.

Create annotated animated GIF demos and screen recordings for pull requests and documentation. Covers frame capture, timing, imageio-based GIF creation, and per-frame annotation workflows.

Resolves, generates, and operates on media assets (audio, images, icons, logos, voice, color grades, LUTs) for HyperFrames projects, using a local cache and the HeyGen CLI for free-usage catalog search and TTS.

Generate images, videos, 3D assets, and audio via the Higgsfield AI CLI, including Marketing Studio ads and Virality Predictor analysis.

Computational pathology toolkit for analyzing whole-slide images (WSI) and multiparametric imaging data. Use this skill when working with histopathology slides, H&E stained images, multiplex immunofluorescence (CODEX, Vectra), spatial proteomics, nucleus detection/segmentation, tissue graph construction, or training ML models on pathology data. Supports 160+ slide formats including Aperio SVS, NDPI, DICOM, OME-TIFF for digital pathology workflows.

Generate spectrograms and audio feature visualizations (mel, chroma, MFCC, tempogram, etc.) from audio files via CLI. Useful for audio analysis, music production debugging, and visual documentation.

Run PyTorch training across GPUs with minimal changes.

Generate spectrograms and audio feature visualizations (mel, chroma, MFCC, tempogram, etc.) from audio files via CLI. Useful for audio analysis, music production debugging, and visual documentation.

Manages Helm charts, releases, repositories, and template rendering for Kubernetes, including installation, upgrades, rollbacks, and debugging.

Cria visualizações de dados interativas e profissionais usando Highcharts.js, gerando HTML standalone com gráficos animados, responsivos e acessíveis. Use este skill sempre que o usuário pedir para criar gráficos, charts, dashboards, visualizações de dados, ou qualquer representação visual de dados numéricos/categóricos. Deve ser usado quando o usuário mencionar termos como "gráfico", "chart", "dashboard", "highcharts", "visualização de dados", "gráfico de linhas", "barras", "pizza", "scatter", "heatmap", "treemap", "gauge", "stock chart", "mapa", "gantt", "sankey", "funnel", ou quando fornecer dados (CSV, JSON, tabela, planilha) pedindo representação visual. Também deve ser ativado quando o usuário pedir gráficos bonitos, interativos, animados, com tooltip, drill-down, ou exportáveis. Funciona com dados inline, CSV, JSON, e arquivos de dados. Sempre gera HTML standalone completo e funcional.

Computational pathology toolkit for analyzing whole-slide images (WSI) and multiparametric imaging data. Use this skill when working with histopathology slides, H&E stained images, multiplex immunofluorescence (CODEX, Vectra), spatial proteomics, nucleus detection/segmentation, tissue graph construction, or training ML models on pathology data. Supports 160+ slide formats including Aperio SVS, NDPI, DICOM, OME-TIFF for digital pathology workflows.

High-fidelity ASCII/Braille rendering via the Risomorphism-1911 pipeline — edge-aware downsampling, presets, quality gates, and eikon mirror workflows

Creates hand-drawn wireframes with graph-paper background, multiple tabs, scribbled chart placeholders, hatched fills, and sticky-note annotations.

Generates and validates Kubernetes Helm charts using helm template and helm lint, with support for values schema generation and chart dependency resolution.

Generating and auditing personal dev environment configs (zsh/tmux/neovim/ghostty) and automating the macOS desktop via AppleScript/JXA (Finder, Mail, Safari). Use for dotfiles or Apple Events.

Push Packer build metadata to HCP Packer registry for tracking and managing image lifecycle. Use when integrating Packer builds with HCP Packer for version control and governance.

Operate Hugging Face Hub repositories, models, datasets, and Spaces via the hf CLI, including downloads, uploads, authentication, and compute jobs.