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VedangW/README.md

Hi there! πŸ‘‹

πŸ”­ I'm currently working as a Machine Learning researcher at the Freundlich Lab at Rutgers University. The goal of my research is an efficient search of drug candidates by developing ML models for Molecular Property Prediction.

πŸ’¬ Ask me about traditional ML and Deep Learning models for NLP, CV, and Drug Discovery. I also know about the ML model lifecycle (feature engineering, training, deployment, monitoring) for batch and real-time inference.

🌱 I'm currently interested in learning about scaling real-time ML model pipelines, Causal Inference, Search algorithms, and Generative models for Drug Discovery.

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  1. upr-kilt upr-kilt Public

    Unsupervised Passage Retrieval for Question Answering, Fact Checking, and Entity Linking on the KILT benchmark using the T5 language model series.

    Python

  2. abstract-visual-reasoning-vit abstract-visual-reasoning-vit Public

    Evaluate and improve performance of Vision Transformer and BEiT on the Raven's Progressive Matrices IQ test.

    Jupyter Notebook 1

  3. robot-path-planning robot-path-planning Public

    Traversal of robotic AI agents through mazes using Informed Search, Logical & Probabilistic Inference, and Machine Learning.

    Jupyter Notebook 1

  4. ieee-cis-fraud-detection ieee-cis-fraud-detection Public

    Detect payment transaction fraud using feature engineering and traditional and deep Machine Learning models.

    Jupyter Notebook

  5. GroundMotionClassifier GroundMotionClassifier Public

    Classify ground motion waves into earthquakes or blasts using traditional Machine Learning algorithms.

    Jupyter Notebook 8 4

  6. community-detection community-detection Public

    Implementation of Community Detection algorithms in Python

    Jupyter Notebook 4 2