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AI_course \u003cimg src=\"https://cdn-icons-png.flaticon.com/512/10644/10644640.png\" alt=\"logo\" width=\"50\" align=\"right\"/\u003e\n\nThis repository contains my weekly homework submissions for the **2025-2 Artificial Intelligence** course.  \nEach week includes code, results, and a README file explaining the task.\n\n---\n\n**Name:** Abbos Aliboev  (알리)  \n**ID:** 2023041080  \n**Course:** 2025-2 Artificial Intelligence  \n\n### Hardware\n- GPU: NVIDIA TITAN RTX\n- CUDA Support: Available (1 device)\n\n---\n\n## ✅ Completed Homeworks\n\n- **[Week 2](./week1/README.md)** → *(introductory task, setup or basic AI exercise)*  \n- **[Week 3](./week2/README.md)** → PyTorch environment setup, CUDA check  \n- **[Week 4](./week3/README.md)** → PyTorch Audio I/O, waveform \u0026 spectrogram visualization  \n- **[Week 5](./week5/README.md)** → Speech Recognition with **Wav2Vec2**, Custom Audio Transcription, Mel Spectrogram, Transformer Layer Feature Extraction  \n- **[Week 9](./week9/README.md)** → Transfer Learning for Computer Vision Tutorial  \n- **[Week 10](./week10/README.md)** → Image Classification using **EfficientNet-B3**, Transfer Learning on Hymenoptera Dataset (Bees 🐝 vs Ants 🐜)  \n- **[Week 11](./week11/README.md)** → Regression Analysis on **Student Performance Dataset**, achieving high prediction accuracy with **PyTorch**\n\n---\n\n## 🖥️ Development Environment (General)\n\n- **Hardware:** NVIDIA TITAN RTX  \n- **CUDA Support:** Available (1 device)  \n- **Python:** 3.10.x  \n- **PyTorch:** 2.5.1+cu124   \n\n---\n\n📌 *More weekly assignments will be added as the course progresses.*  \n\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fabbosaliboev%2Fai_course","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fabbosaliboev%2Fai_course","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fabbosaliboev%2Fai_course/lists"}