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Collection of hands-on projects and experiments across Machine Learning, NLP, Deep Learning, and backend APIs. Includes LSTM notebooks, ANN implementations, FastAPI/Flask apps, AWS SageMaker demos, and small utilities built while learning and exploring different tech stacks. Organized by topic, focused on practical implementation over theory.
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42
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knowledge Distillation is done with code understanding and notes
55dae8fView on GitHubI can't do more RAG!!!, now onto Fine Tuning and LLMops
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