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  1. CPU-vs-GPU-Performance-Analysis CPU-vs-GPU-Performance-Analysis Public

    Benchmarking tests were performed between CPU and GPU for task of Classification.

    Python 3

  2. FNN-Back-Propogation-from-Scratch FNN-Back-Propogation-from-Scratch Public

    Deep Learning-Gradient Descent-Momentum Accelerated-Nadam-Adam-Nesterov-RMSProp-Stochastic

    Jupyter Notebook

  3. Convolutional-Neural-Network Convolutional-Neural-Network Public

    Deep Learning-CNN-YOLO-Object Detection-Image Classification-Dropout-Batch Normalization

    Jupyter Notebook

  4. GPU-accelerated-B-plus-Tree GPU-accelerated-B-plus-Tree Public

    This is a GPU-accelerated B+ Tree implementation in CUDA C++. It builds a B+ Tree on the CPU (host), then offloads certain query operations to the GPU using CUDA kernels.

    Cuda

  5. langchain-llmops langchain-llmops Public

    A hands-on LangChain & LLMOps repository demonstrating key concepts such as LECL, prompt engineering, embeddings, and vector stores with practical code examples.

    Jupyter Notebook

  6. GenAI-LLM-AIAgents GenAI-LLM-AIAgents Public

    🛠️ Build and deploy intelligent AI Agents locally. Explore LLM embeddings, Stable Diffusion, Multimodal VQA, and collaborative agentic crews powered by Llama 3 and Streamlit.

    Python