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aind1p-sudoku

aind2p-dog-project

Building a pipeline that can be used within a web or mobile app to process real-world, user-supplied images

aind2p-rnn

Project materials for RNN segment of AIND nanodegree

aind3p-nlp-capstone

:mortar_board: Building a deep neural network that functions as part of an end-to-end machine translation pipeline. :rocket:

capstone-r-data-apps

Data Science Apps in R

carnd-advanced-lane-lines

Built an advanced lane-finding algorithm using OpenCV for Hough Transforms and Canny edge detection, distortion correction, image rectification, color transforms, and gradient thresholding. Identified lane curvature and vehicle displacement. Detected highway lane lines on a video stream. Overcame environmental challenges such as shadows and pavement changes.

carnd-behavioral-cloning

Built and trained a convolutional neural network for end-to-end driving in a simulator, using TensorFlow and Keras. Used optimization techniques such as regularization and drop out to generalize the network for driving on multiple tracks.

carnd-lane-finding

Finding Lane Lines on the Road

carnd-mpc-project

:octocat: Implemented Model Predictive Control to drive a vehicle around a track even with additional latency between commands.

carnd-path-planning-project

:mortar_board: Create a path planner that is able to navigate a car safely around a virtual highway

carnd-semantic-segmentation

carnd-traffic-sign-classifier

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 against overfitting.

carnd-vehicle-detection

Created a vehicle detection and tracking pipeline with OpenCV, histogram of oriented gradients (HOG), and support vector machines (SVM). Optimized and evaluated the model on video data from an automotive camera taken during highway driving.

caseolap

CaseOLAP: A cloud computing platform for phrase mining. This consists of downloading, parsing, and indexing of data, text-cube creation, entity count with search functionality, and caseOLAP score calculation.

dlnd-face-generation

:rocket: Udacity DLND-project-5: Built Generative adversarial networks (GANS) which puts two neural networks in competition, allowing these networks to model reality with amazing accuracy.

dlnd-language-translation

:octocat: Udacity DLND-project-4: Language translation using RNN

dlnd-perceptron

:rocket: Built basic neural network with python and numpy.

dockerbuild

Docker Build

katib

Repository for hyperparameter tuning

locus-quantum-computing-2021

This repository contains the notebooks, slides, and miscellaneous on lectures delivered in LOCUS Quantum Computing 2021.

mlnd-projects

:rocket: Udacity Machine Learning Projects :mortar_board:

numpy-lectures

:octocat: Numpy for handling n-dim array, algebraic operation, plotting, statistics, and NumPy array functions :rocket:

optimization-lectures

:book: Theory and Models in Optimization (e.g., finding the minimum of a function, finding roots, global and local minimum)

pipelines-javascript-docker

Sample Node.js Docker application referred to by Azure Pipelines documentation

python-lectures

:octocat: Python Basics with fundamental datastructure, loops, functions and class, input/output, plotting

quantum-computing-lectures

:book: Introduction to Quantum Computing and Projects :rocket:

rapids-tutorials

RAPIDS tutorials from NVIDIA

scipy-lectures

:octocat: Introduction to Scientific Computing (e.g., differentiation, integration, interpolation, differential equations) with Numpy, Scipy, Matplotlib, Pandas

textclassification

Text Classification

vasuapi

API with ASP.NET