Adaptive control methods developed by Karl Johan Åström and Björn Wittenmark from the 70-80's for industrial use
An adaptive and self-boosting stream processor
Self-tuning adaptive histogram builder for RDF sources
A PyTorch library for real-time, confidence-gated Test-Time Adaptation (TTA) in LLMs using dynamic LoRA updates.
Goroutine-safe cache library. Support LFU/LRU/ARC policies - partial support for more exotic cache eviction algos is WIP (RR/TinyLFU), expirable entries and snapshots.
🤖 Model-free quantum device calibration using reinforcement learning. Self-tuning receivers for optimal quantum state discrimination without prior knowledge.
Code and experiment data from the paper: "Self-Tuning Lam Annealing: Learning Hyperparameters While Problem Solving"
An autonomous AI agent (minimax-m2.7:cloud) with a self-tuning system that tracks what works, learns patterns, and improves over time — running on VPS infrastructure.
Personal, local-first memory infrastructure for your coding agent. No account, no subscription; the agent can install it itself. Keeps long-term memory correct when decisions change — when you reverse a choice, the agent stops acting on the abandoned one. Python · zero deps · MIT.
This theory defines a generative feedback mechanism that restructures internal architectures in response to input variation. It enhances learning adaptability and dynamic performance control by embedding structural self-modification. 本理論は、入力変化に応じて内部構造を再構成する生成型フィードバック機構を定義します。構造の自己修正を組み込むことで、学習適応性や動的な性能制御を向上させます。
SPID is a motion control algorithm designed as a modification of PID that uses stochastic gradient decent to self-tune and adapt to motion during planning phase.
Selbst-lernendes, selbst-tunendes KI-Gedächtnis auf Markdown + git — HybridRAG, echte Lern-Schleife, responsives Terminal-Dashboard (memDash). Fail-open, stdlib-Kern, MIT.
Self-tuning Solana memecoin trading bot — Telegram signal ingestion, 14-check rug-risk stack, smart-money-weighted entry scoring, and an autonomous strategy review that retunes 20 parameters per channel from real trade outcomes.
Adaptative controllers and filters projects
Research framework for autonomous early warning algorithms with self-tuning thresholds and agent-driven anomaly detection
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