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Training deep neural nets
🐍
Training deep neural nets
0 followers · 15 following
  • Nazarbayev University
  • Astana, Kazakhstan
  • 10:27 (UTC +05:00)
  • LinkedIn in/miras-baisbay

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MirasBaisbay/README.md

Hello, I'm Miras! 👋

About Me

I'm a dedicated Computer Science student from Astana, Kazakhstan, with a strong interest in Machine Learning and Computer Vision. Currently, I'm pursuing my BSc in Computer Science at Nazarbayev University. I like to train deep neural networks on large datasets.

  • 🔭 I’m currently working on: Enhancing my deep learning skills and completing various computer vision projects.
  • 🌱 I’m currently learning: Generative adversarial networks.
  • 🦍 I’m looking to collaborate on: Innovative Machine Learning and Computer Vision projects.
  • 💬 Ask me about: Python, Machine Learning, Data Science, and Computer Vision.
  • 📫 How to reach me: mbaisbay@gmail.com

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  1. FireDetection FireDetection Public

    simple CNN for fire detection (1-fire, 0-not fire)

    Python

  2. Paper_implementation Paper_implementation Public

    LeNet, VGG, GoogLeNet, ResNet, EfficientNet from scratch

    Python

  3. Code_implementations Code_implementations Public

    This repository contains code implementations of useful functions and architectures commonly used in Deep Learning.

    Python

  4. parkinsons-classification parkinsons-classification Public

    A project that classifies Parkinson's Disease. Implemented Histogram-Based Gradient Boosting and Random Forest classifier

    Jupyter Notebook

  5. garbage-classification garbage-classification Public

    Garbage classification using pre-trained ResNet-50, which showed an accuracy of 95%

    Jupyter Notebook

  6. Kaggle-Solutions Kaggle-Solutions Public

    CatBoost for Binary Classification with a Bank Churn Dataset

    Jupyter Notebook