Skip to content
View garg-aayush's full-sized avatar
Block or Report

Block or report garg-aayush

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Please don't include any personal information such as legal names or email addresses. Maximum 100 characters, markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this userโ€™s behavior. Learn more about reporting abuse.

Report abuse
garg-aayush/README.md

Hi, I'm Aayush! ๐Ÿ™‹โ€โ™‚๏ธ

  • ๐Ÿ’ผ ย  Developing Generative AI solutions for high-quality on-model images
  • ๐ŸŽ“ ย  Know a thing or two about diffusion and GANs
  • ๐ŸŽ“ ย  Seasoned in fine-tuning and optimizing train/inference pipelines
  • ๐Ÿ’ผ ย  Developed DL-based denoising and imaging solutions in previous gig with Shell
  • ๐ŸŽ“ ย  Background in (geo)physics and accelerated subsurface imaging

Linkedin Email Pronouns

Pinned

  1. spatial-alias-removal spatial-alias-removal Public

    Removing the spatial aliasing in the seismic data using Deep Learning Super-resolution

    Python 18 3

  2. finance_dashboard_example finance_dashboard_example Public

    Finance dashboard example using Plotly Dash

    Python 7 1

  3. pytorch-pl-hydra-templates pytorch-pl-hydra-templates Public

    Different template codes for Deep Learning with PyTorch.

    Python 6

  4. model-parallelism model-parallelism Public

    Model parallelism for NN architectures with skip connections (eg. ResNets, UNets)

    Python 4

  5. research-papers research-papers Public

    Contains the summaries and notes on a variety of DL papers/blogs

    10

  6. Managing multiple CUDA versions usin... Managing multiple CUDA versions using environment modules in Ubuntu
    1
    # Steps to manage multiple CUDA environments
    2
    
                  
    3
    This gist contains all the steps required to:
    4
    - Install multiple CUDA versions (e.g., `CUDA 11.3` and `CUDA 11.8`).
    5
    - Manage multiple CUDA environments on Ubuntu using the utility called [environment modules](https://modules.readthedocs.io/en/latest/).