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IlgarBaghishov/README.md
  • 👋 Hi, I’m @IlgarBaghishov
  • 👀 My research interests lie at the intersection of Artificial Intelligence and Science.
  • 🌱 My current research focuses on developing generative AI models for materials discovery, data generation and pruning algorithms for ML Interatomic Potential training, and design of automated workflows.
  • 📫 You can contact me by email at baghishov@utexas.edu

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  1. SciLM-ai/ResMill SciLM-ai/ResMill Public

    Rule-based 3D geological reservoir modeling library in Python

    Jupyter Notebook 1

  2. SciLM-ai/ResFlow SciLM-ai/ResFlow Public

    Simple implementations of Diffusion, Flow Matching, Rectified Flow, Schrödinger Bridges and MeanFlow for 2D image and 3D voxel generation

    Python

  3. SciLM-ai/SaddleMill SciLM-ai/SaddleMill Public

    High-Throughput Transition State Dataset Generation via Dimer and NEB

    Python 2 1

  4. SciLM-ai/SaddleFlow SciLM-ai/SaddleFlow Public

    Generative foundation model for transition state prediction in materials.

    Python 2

  5. SciLM-ai/PotMill SciLM-ai/PotMill Public

    Python

  6. SubDataPy SubDataPy Public

    GPU-accelerated Python toolkit for subsampling large datasets for ML training, supporting random, leverage score, and Cook's distance methods.

    Python