Developer Tools / Machine Learning
A PyTorch research code file for adaptive topological control in latent spaces, with sphere-to-torus morphing, differentiable gating, and several geometry-inspired loss terms.
The snapshot shows a substantial Python implementation with a specific AI/ML purpose: shaping latent spaces through topological and geometric operations. The file includes configuration constants, PyTorch imports, and extensive inline comments describing manifold control, curvature, Casimir-inspired terms, and training-related parameters. It is useful enough for a public listing as a research/developer artifact, and the topic is clearly AI-adjacent and builder-oriented.
The crawl only exposes one source file, so a visitor cannot tell how to run it, what data or model it connects to, or whether there are demos, tests, or results validating the approach.
Last evaluated 15 days ago. Current rank #1105. Up 1 spot in the rankings.
CodeGraph is a local code knowledge graph for AI coding agents like Claude Code, Cursor, Codex, OpenCode, and Hermes Agent. It aims to cut token use, tool calls, and runtime by letting agents query pre-indexed code structure instead of scanning files repeatedly.
Single-binary CLI that builds an AI agent knowledge base from git repos, Claude Code/Codex sessions, and saved links. It generates a portable markdown wiki, runs on cron, supports local Ollama mode, and exposes the result for agents via CLAUDE.md/AGENTS.md and MCP.
A lightweight React Markdown renderer with built-in LaTeX, syntax highlighting, streaming-safe rendering, and security-focused defaults.
Claude Code plugin that blocks dependency edits until a fresh, source-cited version check is recorded, helping prevent hallucinated or stale package versions across npm, pip, Poetry/uv, Cargo, and NuGet.
