https://github.com/sriyaroy/coding-challenges

50 Machine Learning & Computer Vision challenges ranging from Easy to Hard to sharpen you ML engineering skills.
https://github.com/sriyaroy/coding-challenges

coding-challenges computer-vision interview-prep machine-learning numpy python pytorch

Last synced: 7 months ago
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50 Machine Learning & Computer Vision challenges ranging from Easy to Hard to sharpen you ML engineering skills.

• Host: GitHub
• URL: https://github.com/sriyaroy/coding-challenges
• Owner: sriyaroy
• Created: 2025-04-02T17:29:29.000Z (10 months ago)
• Default Branch: main
• Last Pushed: 2025-04-13T15:20:22.000Z (10 months ago)
• Last Synced: 2025-04-16T01:50:11.828Z (10 months ago)
• Topics: coding-challenges, computer-vision, interview-prep, machine-learning, numpy, python, pytorch
• Language: Python
• Homepage:
• Size: 164 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

          
# ML Engineering Interview Challenges 🚀💻

Welcome to the **ML Engineering Challenges** repository! 🎉 This repo will have **50 challenges** ranging from **Easy** to **Hard** that are designed to help you sharpen ML engineering skills. 

#### (Many of these challenges have been designed with a Computer Vision engineer in mind as I've found it hard to find targeted resources, however, many of the challenges are transferrable!)

## What's Inside? 📂

- **Levels of Difficulty**:

  - **Easy**🏃‍♂️

  - **Medium**💡

  - **Hard**🚀

- **Contents**: (filling as I write the solutions):

  - 🚀Batch Normalisation from Scratch: [Problem](https://github.com/sriyaroy/coding-challenges/blob/main/problems/batch-norm.py) [Solution](https://github.com/sriyaroy/coding-challenges/blob/main/solutions/batch-norm.py)

  - 🏃‍♂️Simple Image Data Augmentation Pipeline: [Problem](https://github.com/sriyaroy/coding-challenges/blob/main/problems/image-aug-pipeline.py) [Solution](https://github.com/sriyaroy/coding-challenges/blob/main/solutions/image-aug-pipeline.py)

  - 💡Optimise Image Processing with Vectorisation: [Problem](https://github.com/sriyaroy/coding-challenges/blob/main/problems/numpy-vectorisation.py) [Solution](https://github.com/sriyaroy/coding-challenges/blob/main/solutions/numpy-vectorisation.py)

  - 💡PyTorch Training Loop from Scratch: [Problem](https://github.com/sriyaroy/coding-challenges/blob/main/problems/training-loop.py) [Solution](https://github.com/sriyaroy/coding-challenges/blob/main/solutions/training-loop.py)

  - 💡2D Convolution from Scratch using Numpy

    - No padding, dilation or stride: [Problem](https://github.com/sriyaroy/coding-challenges/blob/main/problems/2D-convolution-only.py) [Solution](https://github.com/sriyaroy/coding-challenges/blob/main/solutions/2D-convolution-only.py)

    - [Only padding]

    - [Padding, stride & dilation]

- **Hands-On Python Code**: Each challenge comes with scaffold code to get started. This can be found in the 'Problems' folder and solutions in the 'Solutions' folder 🐍

- **Solutions**: Every solution is my own and if you have a better approach, please share 👩🏽‍💻

## Love or Hate? 🤔

- Take a minute and share your thoughts (anonymously) so I can make this page better 🫶🏽 : https://forms.gle/M79XckyHAUK1qD2d6

- I will implement as many changes as I can!

## How to Get Started 🚀

1. **Clone the Repo**:

   ```bash

   git clone https://github.com/sriyaroy/coding-challenges.git

   cd coding-challenges