Skip to content
View mahii6991's full-sized avatar
🏠
Working
🏠
Working
9 followers · 17 following

Achievements

Achievement: QuickdrawAchievement: YOLOAchievement: Pull Shark

Achievements

Achievement: QuickdrawAchievement: YOLOAchievement: Pull Shark

Highlights

Block or report mahii6991

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 supported. This note will be visible to only you.
Report abuse

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

Report abuse
mahii6991/README.md

👋 Hello World! I'm Mahii

Welcome to my GitHub profile! I'm a passionate Full Stack Machine Learning Engineer with a keen interest in cutting-edge technologies. Let me give you a glimpse into my world.

Popular repositories Loading

  1. swarm-manager swarm-manager Public

    A safety-critical drone swarm system built in Rust with zero heap allocation, Byzantine fault tolerance, and real-time swarm intelligence algorithms.

    Rust 2

  2. pecan pecan Public

    Forked from PecanProject/pecan

    The Predictive Ecosystem Analyzer (PEcAn) is an integrated ecological bioinformatics toolbox.

    R 1

  3. Time-Series-Analysis Time-Series-Analysis Public

    Forked from ritvikmath/Time-Series-Analysis

    code and data for the time series analysis vids on my YouTube channel

    Jupyter Notebook 1

  4. Kaggle_Projects Kaggle_Projects Public

    All the projects that I have done in kaggle can be viewed here.

    Jupyter Notebook 1

  5. vision_transformer vision_transformer Public

    Forked from google-research/vision_transformer

    Need to work on CV with the help of the my own dataset.

    Jupyter Notebook 1

  6. Bayesian-Statistics Bayesian-Statistics Public

    Forked from storopoli/Bayesian-Statistics

    This repository holds slides and code for a full Bayesian statistics graduate course.

    TeX 1