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Deeplearning-Practice

A comprehensive collection of deep learning implementations coded from scratch, covering everything from computer vision to natural language processing. This repository showcases high-quality implementations of fundamental and advanced deep learning algorithms.

Deeplearning-Practice

Key Details

Computer Vision models including CNN architectures and ResNet implementations
Natural Language Processing models including LSTM with attention mechanisms
Regression models with detailed logging for housing price prediction
Sentiment analysis on IMDb reviews with deep learning approaches
Classification models for Vietnamese news articles
All implementations feature clean, well-documented code with detailed explanations

Highlights

  • From-scratch Neural Network Implementations
  • Experimental Tracking with WandB
  • Domain-specific model fine-tuning

Technologies

PyTorchPythonWandBNumPyScikit-Learn