Urbanist is a low-contrast, geometric sans-serif inspired by Modernist design and typography.
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Urbanist is a low-contrast, geometric sans-serif inspired by Modernist design and typography.
Oracle3: open-source trading engine and MCP server for prediction markets. Finds fee-adjusted no-arbitrage violations across related event contracts and trades them live on Kalshi, Polymarket and Solana, or on paper, under pre-trade risk limits. 13 MCP tools, JSON CLI, agent skills, 600+ tests.
GLM 5.3 abliterated or uncensored API access with RouterHub. Browse 35 jailbreak prompt links, compare GLM models, and find SDK examples, coding-tool setup, pricing, and evaluation guides.
Modular autonomous driving platform running on the CARLA simulator and real-world vehicles.
Say It Simply, Test It Properly. Agent-powered strategy research with independent ledger checks and reproducible reports.
Agent tooling for generative LEGO models building, built with Astra and Opus 5.5, powered by Jev
WeVisDoc is an end-to-end document parser for page images. Fine-tuned from Qwen3-VL-2B-Instruct and Qwen3-VL-4B-Instruct, it turns a page into structured Markdown, with LaTeX formulas and HTML tables.
Translated斑海豹 (Spotted Seal) — Phocinae-Largha-150M-v1: a 144.3M bilingual decision model. Tiny model. Big decisions.
a molecular descriptor calculator
Cut AI context cost without trusting the compressor. Every reduction is reversible, byte-exact recoverable, and carries an auditable receipt. Local-first, works through proxy, MCP, SDK, or agent wrapper.
Sequential regulatory activity predictions with deep convolutional neural networks.
Official implementation of “UniForge3D: Joint 3D Reconstruction and Generation in a Shared Anchor-Guided Space.”
scikit-learn inspired API for CRFsuite
Reusable GitHub Actions source builds for jhaizhou-ops/d2r-mobile. Bring your own prepared game archive.
A learning environment for Python suited for beginners and children, inspired by Logo.
Iterative Linear Quadratic Regulator with auto-differentiatiable dynamics models
Crop Yield Prediction with Deep Learning
A Python toolkit for processing tabular data
GEARS is a geometric deep learning model that predicts outcomes of novel multi-gene perturbations
TranslatedOne zero-dependency MCP gateway CLI for every server and agent skill. Token optimization, tool discovery and context compression: 71,929 -> 581 tokens (-99.2%, measured), schemas stay out of context. One config for Claude Code, Codex, Cursor, every agent. 561KB, pure Python. | Zero-dependency CLI: manages all MCP tools and skills, and tool discovery saves 99.2% of tokens.
Learn a codebase by re-deriving its design decisions yourself. A Claude Code skill.
Braille-rendered terminal world map with live weather, aircraft, earthquakes, and day/night layers.
Credentials catching honeypot
A Full Featured GPS NMEA-0183 sentence parser for use with Micropython and the PyBoard embedded platform