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Neural Network Assignment 2: ResNeXt & DenseNet Implementation

This repository contains PyTorch implementations and reproduction results for ResNeXt and DenseNet models as part of Neural Network Assignment 2.

Features

  • πŸš€ Complete implementations of:
    • ResNeXt
    • DenseNet
  • βš™οΈ Support for both:
    • Training from scratch
    • Fine-tuning on pre-trained models
  • πŸ“Š Performance evaluation scripts
  • πŸ“ˆ Training logs and visualization tools

Repository Structure

neural-network-assignment2/
β”œβ”€β”€ resnext/                  # ResNeXt implementation
β”‚   β”œβ”€β”€ resnext.py            # Fine-tuning code
β”‚   └── resnext_scratch.py    # Training-from-scratch code
β”œβ”€β”€ densenet/                 # DenseNet implementation
β”‚   β”œβ”€β”€ densenet.py           # Fine-tuning code
β”‚   └── densenet_scratch.py   # Training-from-scratch code
β”œβ”€β”€ README.md                 # Project documentation
└── requirements.txt          # Python dependencies

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This repository contains the codes for result reproduction of neuro-network assignment 2.

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