TorchLeet-ML-Implementations

A collection of PyTorch implementations for TorchLeet problems, additional ML/DL models, and research paper reproductions.

Structure

torchleet/: Implementations of TorchLeet problems (Easy, Medium, Hard).

additional_models/: Custom implementations of models like ResNet, Attention, Diffusion.

research_papers/: Implementations of seminal ML papers.

notebooks/: Jupyter notebooks for analysis and experiments.

scripts/: Training and utility scripts.

Setup

git clone https://github.com//TorchLeet-ML-Implementations.git pip install -r requirements.txt

Usage

Run a specific implementation: python torchleet/easy/linear_regression/linear_regression.py

Plan

Implement one TorchLeet problem per day. Study related theory and implement additional models (e.g., ResNet, Transformers). Reproduce research papers (e.g., "Attention Is All You Need").