td-arima-forecast
ARIMA-based time series forecasting for trend and seasonal predictions
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ARIMA-based time series forecasting for trend and seasonal predictions
Comprehensive regression model evaluation using TD_RegressionEvaluator
Support Vector Machine for linear and non-linear classification
Comprehensive Generalized Linear Model analytics for regression and classification
Automated model selection and comparison for optimal forecasting
Implement AI/ML research papers from scratch when no official code exists. Use when the user wants to reproduce a paper, implement an algorithm from a PDF, build a model architecture from a research paper, or c...
Build a Through-the-Door training set with reject inference using fuzzy augmentation, including PD-based sample weights; pairs with autogluon-tabularpredictor-fit for modeling the augmented data.
Build scikit-learn compatible custom estimators by following the official “rolling your own estimator” rules for __init__, fit/predict, validation, learned attributes, tags, and estimator checks; prerequisite f...
Evaluate and compare ML model performance with rigorous testing methodologies
Guide model fine-tuning processes for customized AI performance
Growth engine for ID8Labs. Systematic experimentation and optimization to scale products through data-driven decisions, retention focus, and sustainable acquisition channels.
Curate and clean training datasets for high-quality machine learning
Audit AI systems for safety, bias, and responsible deployment
Code Query with AI-enhanced deterministic analysis via SplitMix ternary classification
P-adic ultrametric skill embeddings with MLX Snowflake Arctic, DuckDB
Bengio's causal inference for AI: Interventional reasoning, counterfactuals, and System 2 deep learning. World models with causal structure.
Layer 7 Interperspectival Network Analysis and Influence Flow
local-finetune
Run self-validation loops for triadic color systems using prediction
Hinton's Forward-Forward algorithm for local learning without backpropagation.
Run self-validation loops for triadic color systems using prediction vs observation and error minimization.
Schmidhuber's compression progress as intrinsic curiosity reward for
Unison language ACSet-structured skill with hierarchical documentation parsing, SPI trajectory recording, and 1069 skill predictions from zubuyul seed.
Building applications with Large Language Models - prompt engineering,
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