An implementation of the Deep Knowledge Tracing (DKT) using Tensorflow 2.0
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Updated
Dec 4, 2020 - Python
An implementation of the Deep Knowledge Tracing (DKT) using Tensorflow 2.0
This repository contains files for Udacity's Machine Learning Nanodegree Project: Boston House Price Prediction
Udacity Self-Driving Car Engineer Nanodegree Advanced Lane Finding Project. Identifying lanes using edge detection (Sobel operator, gradient of magnitude and direction, and HLS color space), camera calibration and unwarping (distortion correction and perspective transform), and polynomial fitting for the lanes.
Udacity Suse Cloud Native Foundations Scholarship Course Walkthrough
Learn to design and deploy infrastructure as code, build and monitor CI/CD pipelines for different deployment strategies, and deploy scaleable microservices using Kubernetes.
Backend for the Q/A engine Sal, based on Python Flask and PostgreSQL
First AI programming with Python project
Content for Udacity's Intel® Edge AI for IoT Developers nanodegree
Udacity.com Nanodegree materials
Personal repository for Udacity Programming for Data Science Nanodegree
Udacity Nanodegree - Full Stack - HTML5, CSS3, JavaScript, Python, and SQL
Create Data Lake on AWS S3 to store dimensional tables after processing data using Spark on AWS EMR cluster
Train agents to walk, drive by themself using Unity ML Agent, OpenAI Gym and PyTorch
Including Camera Calibration, Perspective Transformation, Lane Curvature and Offset Identification
Train an agent using RL to navigate (and collect bananas) in a large, square world
Deep learning based Gaze Detection model to control the mouse pointer of your computer.
This repo consists of the projects that I completed as a part of the Udacity's Artificial Intelligence Nanodegree's curriculum.
Using Keras to train a deep neural network for predicting steering angles based on camera input. Trained on a Unity3D simulator.
In this project CNN model is cloning human style of steering control. This is an assignment of Self Driving Car Engineer nano degree course offered by Udacity.
Autoencoders are neural networks used for data compression, image de-noising, and dimensionality reduction. Using PyTorch.
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