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cpohagwu/README.md

Hi there 👋

I work at the intersection of AI/ML, computational modeling, and agriculture, with a particular interest in crop modeling, time series, and decision-making under uncertainty.

I build tools and experiments around machine learning, simulation, and scientific computing, mostly to solve problems I encounter in my own work. I share some of those projects here in the hope that they might also be useful to others.

I'm particularly interested in combining deep learning with process-based (mechanistic) models to better understand agricultural systems and build practical decision-support tools for growers and researchers.

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  1. crosslearn crosslearn Public

    Reusable representation extractors for reinforcement learning across vectors, images, and Chronos-backed time-series windows.

    Python 4

  2. timeseries_agent timeseries_agent Public archive

    A Policy Gradient RL agent for time series prediction using PyTorch Lightning.

    Python 12

  3. reinforcement-learning-curated-resources reinforcement-learning-curated-resources Public

    A curated collection of Reinforcement Learning implementations progressing from basic single-neuron policy gradients to advanced deep neural networks. Includes detailed explanations, progressive co…

    Jupyter Notebook 2

  4. lintul3-gym lintul3-gym Public

    A transparent, reproducible Gymnasium environment for LINTUL3 nitrogen-management reinforcement learning.

    Python 2