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Researching
🎯
Researching
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Achievements

Achievement: YOLOAchievement: Pull Shark

Achievements

Achievement: YOLOAchievement: Pull Shark

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MorningStarTM/README.md

Hi 👋, I'm Ernest

Machine Learning Engineer & Independent Researcher — Reinforcement Learning

🔭 Currently working on

  • GPSM — a GPT-style sequence model for human pose prediction
  • Leonidas — a foundation model trained on motion-capture data (sports, tactics, attacks)
  • L2RPN — RL approaches for power grid control

🌱 Research interests

Reinforcement learning, language-guided RL, and motion/pose foundation models.

💬 Ask me about

Machine Learning, Deep Learning, Reinforcement Learning, LLMs

😂 Fun fact

I write code best with a glass of whisky nearby — debugging included.

💻 Tech Stack

Python PyTorch TensorFlow C++ C# NumPy Pandas scikit-learn Docker Git

📊 GitHub Stats

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  1. MulticancerViT MulticancerViT Public

    This project is focused on building a Vision Transformers for classify multiple cancer types images.

    Jupyter Notebook 1 1

  2. project-koperundevi project-koperundevi Public

    This project is a study of LLMs (Large Language Models) for the Tamil language.

    Jupyter Notebook 1

  3. KAN-Agents KAN-Agents Public

    This repo contains deep reinforcement learning agents with kolmogorov-arnold network (KAN).

    Jupyter Notebook 8 2

  4. Synthetic-Data-Generator Synthetic-Data-Generator Public

    This Project for Creating unified tool to generate synthetic data (text and sensorial data) using LLM with the help of DSPy

    Python 2

  5. grid-baseline-agent grid-baseline-agent Public

    This project for implementing and training baseline agent such are PPO, Actor Critic, SACD, DQN variants on PowerGrid(L2RPN)

    Python 2

  6. GridStar GridStar Public

    Neural-guided A* search for power grid topology optimization. Learns a heuristic cost-to-recovery function h(s) to efficiently find optimal remedial topology actions during congestion, then distill…

    Python 2