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  1. causal-inference-experimentation-toolkit causal-inference-experimentation-toolkit Public

    This project provides a toolkit for designing and analyzing controlled experiments (A/B tests) and other causal inference analyses. It demonstrates key data science skills in experimental design, s…

    Python 1

  2. HPC_Relational_Ops HPC_Relational_Ops Public

    HPC-Driven Relational Database Operators with Advanced GPU Memory Management

    Cuda

  3. GPU-Accelerated-MLaaS GPU-Accelerated-MLaaS Public

    This project showcases a GPU-Accelerated MLaaS Platform integrating data ingestion, labeling, visualization, and dashboards. Leveraging NVIDIA RAPIDS, CUDA, and PyTorch, it highlights the efficienc…

    Python

  4. MedImgSegmentation-GAN-LLM MedImgSegmentation-GAN-LLM Public

    This project develops an advanced medical image segmentation system using U-Net, Generative Adversarial Networks (GANs) for data augmentation, and a Large Language Model (LLM) like GPT-2 for genera…

    Python 3 2

  5. XGBoost_Gradient_Boosting-vs-SuperLearner XGBoost_Gradient_Boosting-vs-SuperLearner Public

    Implementing Gradient Boosting , XGboost, AdaBoost & SuperLearner in Python and comparing their classification accuracy of the two methods.

    Python 2

  6. Neural_Networks Neural_Networks Public

    Fit four different neural networks: (a) Two distinct single hidden layer neural networks. (b) Two distinct neural networks with two hidden layers. Compare the accuracy of these four Neural network…

    Python