Skip to content
View pedramabaspoor106-lang's full-sized avatar
  • Joined May 31, 2026

Block or report pedramabaspoor106-lang

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.

Maximum 250 characters. Please don’t include any personal information such as legal names or email addresses. Markdown is supported. This note will only be visible to you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse

Popular repositories Loading

  1. javid-mask javid-mask Public

    Forked from Iman/javid-mask

    Privacy Protection Suite for Starlink Users in Iran

    Jinja 1

  2. rclone rclone Public

    Forked from rclone/rclone

    "rsync for cloud storage" - Google Drive, S3, Dropbox, Backblaze B2, One Drive, Swift, Hubic, Wasabi, Google Cloud Storage, Azure Blob, Azure Files, Yandex Files

    Go 1

  3. javid-steganography javid-steganography Public

    Forked from Iman/javid-steganography

    A robust steganography tool designed to hide text within images in a way that survives social media platform processing, including JPEG recompression.

    Python 1

  4. workout-lol workout-lol Public

    Forked from workout-lol/workout-lol

    A simple way to create a workout plan

    JavaScript 1

  5. eai-vc eai-vc Public

    Forked from facebookresearch/eai-vc

    The repository for the largest and most comprehensive empirical study of visual foundation models for Embodied AI (EAI).

    Python 1

  6. Leveraging-Random-Forest-Algorithms-for-Enhanced-Bitcoin-Price-Forecasting-2024-Halving Leveraging-Random-Forest-Algorithms-for-Enhanced-Bitcoin-Price-Forecasting-2024-Halving Public

    Forked from imanslab/Leveraging-Random-Forest-Algorithms-for-Enhanced-Bitcoin-Price-Forecasting-2024-Halving

    The methodology employs Random Forest algorithm to analyze historical Bitcoin data, focusing on periods around Bitcoin halving events to predict future price movements.

    Python 1