Highlights
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Machine-Learning
Machine-Learning PublicMachine learning techniques, such as Linear Regression, Logistic Regression, Neural Networks (feedforward propagation, backpropagation algorithms), Diagnosing Bias/Variance, Evaluating a Hypothesis…
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Deep-Learning
Deep-Learning PublicImplemented 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…
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HeteroArchGen4M2S
HeteroArchGen4M2S PublicHeteroArchGen4M2S: 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…
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SDC-term1-Traffic-Sign-Classifier
SDC-term1-Traffic-Sign-Classifier PublicBuilt 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…
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SDC-term1-Behavioral-Cloning
SDC-term1-Behavioral-Cloning PublicBuilt 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…
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feature_engine
feature_engine PublicForked from feature-engine/feature_engine
Feature engineering package with sklearn like functionality
Python 2
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