Skip to content
View iboud0's full-sized avatar
10 followers · 17 following

Achievements

Achievement: QuickdrawAchievement: YOLOAchievement: Pull Shark

Achievements

Achievement: QuickdrawAchievement: YOLOAchievement: Pull Shark

Block or report iboud0

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 user’s behavior. Learn more about reporting abuse.

Report abuse
iboud0/README.md

Hello!

I'm Ilyas Boudhaine, a Computer Science student from Morocco at Mohammed VI Polytechnic University. I'm passionate about AI, solving complex problems, and creating original software solutions.

  • 🌟 Tackled numerous freelance projects, collaborating with individuals and companies
  • 💡 Honing my skills in machine learning and software development

Feel free to reach out to me by email: ilyasboudhaine1@gmail.com or ilyas.boudhaine@um6p.ma

Pinned Loading

  1. scikit_learn_clone scikit_learn_clone Public

    Custom implementation of various machine learning algorithms and utilities inspired by Scikit-Learn

    Python

  2. kvstore kvstore Public

    Go

  3. memory-managment memory-managment Public

    Simple memory management system

    Python

  4. Simplified-Git Simplified-Git Public

    Simplified version of Git for efficient repository creation and management.

    C++

  5. HNSW-Attribute-Filtering-Optimization HNSW-Attribute-Filtering-Optimization Public

    Optimizing multi-attribute filtering for Approximate Nearest Neighbor (ANN) search using HNSW. This project integrates bitsets and Roaring Bitmaps into HNSWLib to accelerate query performance by re…

    C 1

  6. LRA-Image-Classification-on-Sequences-of-Pixels LRA-Image-Classification-on-Sequences-of-Pixels Public

    Benchmarking sequence-based models on CIFAR-10 for the LRA benchmark. Implemented and evaluated models like TrellisNet, LipschitzRNN, PiT, Nyströmformer, and FNet for image classification

    Jupyter Notebook 1