Python · By aiming-lab

Reference patterns for writing qiskit 2.x code for variational quantum machine learning: feature maps, VQC training, VQE for chemistry, MPS circuits and noise models.

aiming-lab/AutoResearchClaw

A skill your agent uses when writing shell scripts, Python automation, or any unattended batch job.

aiming-lab/MetaClaw

Runs flux balance analysis and related constraint-based simulations on a COBRApy metabolic model, from standard FBA to gene knockouts and carbon source swaps.

aiming-lab/AutoResearchClaw

Turns raw flux balance analysis output and a COBRApy model into gene essentiality maps, phenotypic phase planes, flux sampling results, pathway summaries and secretion predictions.

aiming-lab/AutoResearchClaw

Runs quality control on a COBRApy genome-scale metabolic model before flux analysis, checking mass and charge balance, biomass feasibility, dead ends, thermodynamic loops and GPR rules.

aiming-lab/AutoResearchClaw

Runs the ResearchClaw 23-stage autonomous pipeline from a topic, config file and output directory, from literature review through experiments to a written and reviewed paper.

aiming-lab/AutoResearchClaw