Code and data for Zhang, Lengersdorff et al. (2020)
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Updated
Aug 20, 2020 - MATLAB
Code and data for Zhang, Lengersdorff et al. (2020)
Code and data for Zhang & Gläscher (2020)
Various experiments related to AGI
A statistics package with a variety of bootstrap and other resampling tools
e-PAL: An Active Learning Approach to the Multi-Objective Optimization Problem
A substrate-native digital consciousness engine where prediction errors about self-survival become causally efficacious qualia, driving closed-loop recursive self-evolution.
🚀Implementation of Logistic Regression and Linear Regression in Python for Classification Problems🏗
A statistics package with a variety of bootstrap and other resampling tools. This repository is synced to the same-named repository owned by GNU-Octave. It exists to facilitate publication of the developmental version of the statistics-resampling toolbox at MathWorks FileExchange.
Prediction-error optimization. The agent guesses before each experiment. Wrong predictions are the learning signal. One file, zero dependencies. pip install theorist
An R Package for quickly performing regressions over many groups and evaluating leave-one-out prediction error.
we fit various splines to model the COVID-19 daily positive case numbers in Florida from 3/3/20 – 3/7/21.
What if the AI agent guessed first? 251 experiments. The predicting agent adapted to a 5x compute shift on try one. The reflecting agent took 7. The searching agent never caught up.
Error-aware Bayesian Meta-Predictions and ensembles
This is a project from Wesleyan Computational Memory Lab (now at Swarthmore) that utilizes GPT-2 model to study human memory structure during event segmentation and recall.
A 2025 'ChatGPT makes students dumber' study predicted why Karpathy's 2026 AI agent would plateau. The fix worked on AI too.
Recursive research intelligence that gets smarter every time you use it. MCP server + CLI + REST API. Prediction-error learning, surprise detection, persistent brain.
MATLAB implementation | Li et al., IEEE TCE 2026 | Sorting-and-Prediction Integration for high-capacity reversible data hiding
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