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This repository contains my weekly homework submissions for the 2025-2 Artificial Intelligence course.
Each week includes code, results, and a README file explaining the task.


Name: Abbos Aliboev (알리)
ID: 2023041080
Course: 2025-2 Artificial Intelligence

Hardware

  • GPU: NVIDIA TITAN RTX
  • CUDA Support: Available (1 device)

✅ Completed Homeworks

  • Week 2(introductory task, setup or basic AI exercise)
  • Week 3 → PyTorch environment setup, CUDA check
  • Week 4 → PyTorch Audio I/O, waveform & spectrogram visualization
  • Week 5 → Speech Recognition with Wav2Vec2, Custom Audio Transcription, Mel Spectrogram, Transformer Layer Feature Extraction
  • Week 9 → Transfer Learning for Computer Vision Tutorial
  • Week 10 → Image Classification using EfficientNet-B3, Transfer Learning on Hymenoptera Dataset (Bees 🐝 vs Ants 🐜)
  • Week 11 → Regression Analysis on Student Performance Dataset, achieving high prediction accuracy with PyTorch

🖥️ Development Environment (General)

  • Hardware: NVIDIA TITAN RTX
  • CUDA Support: Available (1 device)
  • Python: 3.10.x
  • PyTorch: 2.5.1+cu124

📌 More weekly assignments will be added as the course progresses.

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This repository contains my weekly homework submissions for the 2025-2 Artificial Intelligence course. Each week includes code, results, and a README file explaining the task.

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