🔥 An autonomous AI agent that runs your deep learning experiments 24/7 while you sleep. Zero-cost monitoring, Leader-Worker architecture, constant-size memory.
AutoOED: Automated Optimal Experimental Design Platform
A GUI-forward Python framework for automating experimental setups.
Experiment / job runner with automatic GPU assignment, task queuing, and web UI.
Autonomous ML research on rental GPUs — LLM-driven hypothesis generation and fleet orchestration on RunPod
An operating system for autonomous research — from literature to manuscript inside a governed, checkpointed loop.
Autonomous experiment loops for Claude Code. Let AI run 100 experiments while you sleep. Works on any codebase.
The ‘whisper_chunk_transcribe’ repository offers a Python script that utilizes OpenAI’s Whisper model to transcribe audio files in segments, enhancing accuracy and efficiency for lengthy recordings. It supports various audio formats and allows customization of chunk duration and overlap settings to optimize performance.
Autonomous experiment loop skill for Claude Code. Give it a codebase and a metric — it experiments forever. Generalized from Karpathy's autoresearch.
InfiEpisteme 📜 — Talk to Claude Code, get a research paper. 19 Markdown skills orchestrate the full pipeline: literature survey → ideation → experiments → writing → cross-model review. No framework, no lock-in — pure .md skills runnable by any LLM agent.
Experimental research framework for running AI benchmarks at scale
A framework for the comparative training and evaluation of statistical and deep learning models for multi-feature categorical sequence modeling, utilizing feature fusion and automated with MLflow and Optuna integration.
Light project, only for autosettings of lock-in amplifier and generator. Single-thread. Very light project
Something like ELF, but with Kinetics and two plots
An abstraction layer for pulse sequence scripting with National Instruments hardware.
Autonomous ML research loops for Claude Code with mechanical anti-fabrication guards.
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