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1. Deep-Learning Deep-Learning Public

   A collection of simple and practical examples of ANN, CNN, and RNN models using PyTorch. Perfect for learning core deep learning architectures through code.

   Jupyter Notebook 10

2. Custom-Transformer-Pytorch Custom-Transformer-Pytorch Public

   A clean, ground-up implementation of the Transformer architecture in PyTorch, including positional encoding, multi-head attention, encoder-decoder layers, and masking. Great for learning or buildin…

   Jupyter Notebook 14 6

3. Fine-Tuning-LLMs-and-VisionModels Fine-Tuning-LLMs-and-VisionModels Public

   Fine-Tuning LLMs (Gemma, LLaMA, Mistral, etc.) A practical guide to fine-tuning various large language models using popular frameworks. Includes examples, scripts, and tips for efficient training o…

   Jupyter Notebook 13 4

4. MediLlama-3.2 MediLlama-3.2 Public

   Llama 3.2 fine-tuned on a medical dataset for improved healthcare-specific understanding and tasks.

   Jupyter Notebook 10 4

5. Lecture-Summarize Lecture-Summarize Public

   LectureSummarizer is an AI-powered website that transcribes and summarizes lectures. It uses OpenAI Whisper for accurate speech-to-text and Llama 2 for concise summaries. With an easy-to-use Gradio…

   Python 7

6. Multimodel-RAG Multimodel-RAG Public

   Multimodal RAG ingests PDFs and generates combined text and image outputs by retrieving and grounding relevant information from the documents.

   Jupyter Notebook 8