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1. Neural-Network-from-scratch-without-libraries Neural-Network-from-scratch-without-libraries Public

   i am going to design a neural network from basic building blocks . Also , i am not going to use any pytorch or tensorflow or keras

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2. LLM-from-scratch LLM-from-scratch Public

   Going to Build a small LLM which explains the LLM architecture in detail

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3. LLM-FineTuning LLM-FineTuning Public

   In this project, I fine-tuned a Large Language Model (LLM) for both text classification and instruction-following tasks. The workflow includes data preprocessing, model training, fine-tuning on cus…

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4. DSA-Visualizer DSA-Visualizer Public

   🚀 Interactive DSA learning platform — explore algorithms with multi-language code (Python, JS, C++), complexity analysis, and live visualizations. Built with React, Node.js, Express & MongoDB.

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5. QLoRA_Finetuning_Cheaply QLoRA_Finetuning_Cheaply Public

   Implementation of QLoRA (Quantized Low-Rank Adaptation) for fine-tuning large language models on consumer GPUs. Runs on Google Colab T4 (12GB VRAM) using 4-bit NF4 quantization + LoRA adapters via …

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6. NutriBot-RAG NutriBot-RAG Public

   🥗 Ask NutriBot anything about nutrition, diet plans, vitamins & healthy eating. AI answers grounded in a real nutrition textbook using RAG architecture. Free to use & deploy.

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