Check whether a backtest is real: deflated Sharpe, CSCV probability of backtest overfitting, minimum track record and backtest length, haircut Sharpe and luck-equivalent trials, as an MCP server. Local mode, hosted endpoint, signed receipts.

Self-improving verification pipeline. Diagnose failures, generate fix candidates, validate in isolation, reject overfitting. Repair with proof.

A simple library for implementing 3 layer neural networks

NodeJS implementation of decision tree, random forest, and XGBoost algorithms with comprehensive performance testing (Node.js 20+)

Backtest harness for dsh agents - name reserved; first release in development.

A recursive, agentic framework for ML research with hypothesis-driven experimentation. Features Critic agent for automated skeptical review, Explorer for data reconnaissance, and Architect for hypothesis synthesis.

A library to implement reinforcment learning in the easiest way possible.

Backtesting toolkit for Node.js with strategy simulation, historical data loading, and report generation

Supplementary evaluation methods for SEMinR PLS-SEM models — CVPAT, PCM, cIPMA, COA, NCA, CTA-PLS, FIMIX-PLS, PLS-POS, and congruence testing, ported from the seminrExtras R package

multilayer perceptron which can be trained using the backpropagation algorithm

Personal AI Infrastructure for Pi — MVI core + capability profiles, schema validation, MCP registration, observability sink

Machine Learning library in JavaScript

multilayer perceptron which can be trained using the backpropagation algorithm

Artificial neural network for data prediction.

Ensemble together your machine learning algorithms automatically!

No description provided.

ARDA DAO - Institutional-Grade Autonomous Trading Platform with ML-Enhanced Strategies

Personal AI Infrastructure extension for Pi — full v4.0.3 sync: ISC splitting test, count gates, anti-criteria, capability tracking, time budgets, enhanced observability, agent personas, sentiment tracking, self-evolution, Ralph iteration, damage control

A beginner-friendly ML learning language that teaches machine learning through clean, readable code. Zero dependencies.

Simple wrapper for vowpal wabbit's recommendation engine