Module to evaluate JSON-structured expression trees
X-ray your agent trace — turn a raw tool-call log into a decision tree, detect infinite loops, surface 5-Whys, and produce a one-paragraph postmortem in one MCP call.
UI testing with PhantomCSS and Decision Trees
Nodejs implementation of decision tree using Entropy algorithm
Decision tree library.
Tiny decision tree library
A crate to distill faithful decision trees out of neural networks
Decision tree algorithms for sklears: CART, ID3, C4.5
KeepCrafting Companion plugin for rendering a four-layer binary decision tree.
Battle-tested financial math for AI. 173 Excel-compatible functions validated against Gnumeric & R. MCP integration, Monte Carlo, Decision Trees, Real Options.
Decision tree and ensemble models for the ferrolearn ML framework
Fast Random Forest library.
Decision trees in Rust
A decision tree implementation in Rust
A library that implement tree models
disarm64 provides a tool and a library for decoding ARM64 instructions (at least 250 MiB/sec of the decoding speed is delivered on a laptop that is used for development). Here you will also find a utility for generating disassembler/instruction decoder tables in Rust from a JSON file. Besides that, can visualize the instruction decoding as a tree.
disarm64 provides a tool and a library for decoding ARM64 instructions (at least 250 MiB/sec of the decoding speed is delivered on a laptop that is used for development). Here you will also find a utility for generating disassembler/instruction decoder tables in Rust from a JSON file. Besides that, can visualize the instruction decoding as a tree.
ID3-based implementation of the M.L. Decision Tree algorithm
A decision tree library which implemented ID3 & C4.5 of algorithms
A binary decision tree useful for brackets of single elimination tournaments.
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