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1. Machine-Learning Machine-Learning Public

   Machine learning techniques, such as Linear Regression, Logistic Regression, Neural Networks (feedforward propagation, backpropagation algorithms), Diagnosing Bias/Variance, Evaluating a Hypothesis…

   MATLAB 3 5

2. Deep-Learning Deep-Learning Public

   Implemented the deep learning techniques using Google Tensorflow that cover deep neural networks with a fully connected network using SGD and ReLUs; Regularization with a multi-layer neural network…

   Jupyter Notebook 11 6

3. HeteroArchGen4M2S HeteroArchGen4M2S Public

   HeteroArchGen4M2S: An automatic software for configuring and running heterogeneous CPU-GPU architectures on Multi2Sim simulator. This tool is built on top of M2S simulator, it allows us to configur…

   GLSL 10 4

4. SDC-term1-Traffic-Sign-Classifier SDC-term1-Traffic-Sign-Classifier Public

   Built and trained a deep neural network to classify traffic signs, using TensorFlow. Experimented with different network architectures. Performed image pre-processing and validation to guard agains…

   HTML 1 1

5. SDC-term1-Behavioral-Cloning SDC-term1-Behavioral-Cloning Public

   Built and trained a convolutional neural network to drive the car itself autonomously in a simulator using Tensorflow (backend) and Keras. Experimented with a modified Nvidia architecture. Performe…

   Python 4 1

6. feature_engine feature_engine Public

   Forked from feature-engine/feature_engine

   Feature engineering package with sklearn like functionality

   Python 2