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shiyongxin

Skills股票量化分析框架 - 完整的Python量化交易系统 v2.0

synapticore-io

Physics-Informed Neural Networks with PINA - solve PDEs, inverse problems, and operator learning with PyTorch

T-Klug

Knowledge about pyecharts chart creation, HTML report generation, and visualization best practices

Renkunzhao

Summarize current session changes using git status/diff, then propose 3 Conventional Commit messages with scope limited to model|motion|ui. Only run git commands that read state; never commit/push without approval.

antvis

Recommend and generate appropriate data visualizations using GPT-Vis syntax. Supports 20 chart types including statistical charts (line, column, bar, pie, area, scatter, dual-axes, histogram, boxplot, radar, funnel, waterfall, liquid, word-cloud, violin, venn, treemap), flow charts (sankey), and data display (table, summary). Provides workflow from intent recognition to chart selection, syntax generation, and code generation for HTML, React, or Vue.

Murf-y

This project is a visualization of the network science models. Uses CytoScape.js to visualize the models.

opensesh

Interactive design resource directory with AI-powered search. Explore 150+ curated design tools, inspiration, and resources in an variety of interactive formats

majiayu000

Choose the right serialization format for .NET applications. Prefer schema-based formats (Protobuf, MessagePack) over reflection-based (Newtonsoft.Json). Use System.Text.Json with AOT source generators for JSON scenarios.

Aaronontheweb

Choose the right serialization format for .NET applications. Prefer schema-based formats (Protobuf, MessagePack) over reflection-based (Newtonsoft.Json). Use System.Text.Json with AOT source generators for JSON scenarios.

jrmoynihan

Work with Cargo commands, workspace configuration, dependency management, and build systems. Use when managing dependencies, configuring workspaces, building projects, running tests, or publishing crates. Handles Cargo.toml configuration, workspace setup, dependency resolution, and build commands.

opensearch-project

📊 Open source visualization dashboards for OpenSearch.

huggingface

Track and visualize ML training experiments with Trackio. Use when logging metrics during training (Python API), firing alerts for training diagnostics, or retrieving/analyzing logged metrics (CLI). Supports real-time dashboard visualization, alerts with webhooks, HF Space syncing, and JSON output for automation.