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1. 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

2. 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. 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 1

4. Reinforcement_Learning-Python Reinforcement_Learning-Python Public

   We use python software and NumPy library to implement the Q-learning method , train an Agent to solve a Reinforcement Learning Problem

   Jupyter Notebook

5. 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

6. Support_Vector_Machines-vs-Discriminant_Analysis Support_Vector_Machines-vs-Discriminant_Analysis Public

   Comparing Classification Methods. We will code some Discriminant Analysis Methods and compare them to Support Vector Machines (SVMs).

   R