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comparative-analysis

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A from-scratch PyTorch implementation of Low-Rank Adaptation (LoRA) to efficiently fine-tune BERT models for text classification. This project compares the performance and parameter efficiency of LoRA, full fine-tuning, and from-scratch training.

  • Updated Oct 29, 2025
  • Python

A PyTorch project exploring CNN model efficiency, featuring from-scratch implementations of MobileNetV1 and MobileNetV2. Demonstrates model compression by using Knowledge Distillation to train a lightweight MobileNetV2 (student) from a ResNet-18 (teacher).

  • Updated Oct 27, 2025
  • Python

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