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ArianAmani/README.md

Hi there, I'm Arian Amani๐Ÿ‘‹

๐Ÿ’ฌ I'm a Computer Science student at the Sapienza University of Rome, studying, working on, and researching deep learning applications in Life Sciences such as Single-Cell Genomics and Drug Discovery with a focus on Generative Models as a remote research assistant at the Wellcome Sanger Institute. I'm also quite interested in Adversarial Examples and trying to make more robust and generalized deep learning models as well.

๐Ÿ“ซ Contact me

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โšก A Few Quick Facts

  • ๐ŸŒฑ I'm currently studying causality in deep learning, specifically, Causal Representation Learning.
  • ๐Ÿš€ My recent focus has been on creating cutting-edge Generative Models and pioneering Multi-Modal Contrastive Learning approaches.
  • ๐Ÿ”ฌ Single-Cell Genomics, Drug Discovery, Drug Optimization, and Gene-Drug Interaction Analysis
  • ๐Ÿ“™ Check out my resume.
  • โœ’๏ธ I might start to write articles on my blog regularly, for now there's a roadmap to starting Deep Learning Medium logo Blog logo

๐Ÿ“ Recent Posts

Arian's GitHub stats

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  1. DL-RoadMap DL-RoadMap Public

    A Road Map To Deep Learning

    44 4

  2. theislab/cpa theislab/cpa Public

    The Compositional Perturbation Autoencoder (CPA) is a deep generative framework to learn effects of perturbations at the single-cell level. CPA performs OOD predictions of unseen combinations of drโ€ฆ

    Python 90 17

  3. ML4Single-Cell-Workshop ML4Single-Cell-Workshop Public

    Jupyter Notebook 3 1

  4. SharifiZarchi/Introduction_to_Machine_Learning SharifiZarchi/Introduction_to_Machine_Learning Public

    Machine Learning Course, Sharif University of Technology

    Jupyter Notebook 1.5k 269

  5. VectorDB-PDF-Search-GRPC VectorDB-PDF-Search-GRPC Public

    Python

  6. Face-Alter Face-Alter Public

    Latent Representation and Exploration of Images Using Variational AutoEncoders

    Jupyter Notebook