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A2Amir

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In the repository we will learn some of the foundational search algorithms(A* and dynamic Prgramming) used in discrete path planning.

Counting-Trees-using-Satellite-Images

This study investigates the aspect of localizing and counting trees using satellite images to create an inventory of incoming and outgoing trees for an annual tree inspections.

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Pix2Pix-for-Semantic-Segmentation-of-Satellite-Images

The presented experiment aims at using Pix2Pix network to segment the building footprint from Satellite Images.

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Prediction-Phase-in-the-trajectory-generation-of-cars

In general, the way we think about handling multi-modal uncertainty is by maintaining some beliefs about how probable each potential mode is.

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Programm-An-Autonomous-Vehicle-in-ROS

In the project I am going to programm a car to drive itself around the test track using components of the perception, planning and control subsystems which will be implemented in the Robot Operation System.

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Software-Engineering-Practices-in-Data-Science.

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Behavior-Planning-by-Finite-State-Machine

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COVID-19-Data-Dashboard

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A-new-efficient-lightweight-semantic-segmentation-Network

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Extended-Kalman-Filter-for-Sensor-Fusion-Radar-and-Lidar

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NLP-and-Pipelines

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Recommendation-Systems

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Polygonization-of-Segmentation-Networks

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A-B-Testing-Case-Study

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Batch-Layer-Normalization

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Data-Mining-and-AI-Resources

Particle-Filters

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Motion-Model-of-a-Car

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Generative-Adversarial-Network--GAN-

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Trajectory-Generation

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Data-Science-Process

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Prostate-Segmentation

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Traditional-Object-Detection

Image classification is tricky and it becomes even trickier when you don't know exactly where in an image my objects of interest will appear or what size they'll be or even how many of them you might find.

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Analyse-Disaster-Data

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Data-Visualization-in-Data-Science-Process

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Anomaly-Detection

How to detect anomalies in a dataset

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Fully-Convolutional-Networks--FCNs--

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Introduction-To-Numpy-and-Pandas

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ETL-Data-Pipelines

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Implement-a-particle-filter-in-the-context-of-Cplus

You know what particle filter is and how it works. In this lesson, you learn some important implementation details. Afterwards you will be able to understand how to implement a particle filter in the context of C++.

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Sentiment-Analysis

Sentiment Analysis with logistic Regression and Fully Connected layer and LSTM (Tensorflow)

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Spam-Classifier-with-Naive-Bayes

In this this repository I will be using the Naive Bayes algorithm to create a model that can classify SMS messages as spam or not spam.

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Face-Detection-and-Verification

In this Repositiory, the goal is to code networks that are developed for Face Verification and Detection.

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Machine-Translation

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The-Usage-of-AI-defects-for-Building-Footprint-Segmentation

To investigate the effect of pre-processing algorithms in the field of Building Footprint Segmentation, we are going to design a pre-processing algorithm that manipulates the training data to feed them into a Mask R-CNN network that can perform instance segmentation or fake semantic segmentation based on the execution or non-execution of the pre-processing algorithm

Python

Markov-Localization-and-the-Kidnapped-Vehicle-

Markov Localization or Bayes Filter for Localization is a generalized filter for localization and all other localization approaches are realizations of this approach. By learning how to derive and implement this filter, we develop intuition and methods that will help us solve any vehicle localization task.

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Highway-Driving

The goal of this project is to build a path planner that creates smooth, safe trajectories for the car to follow. The highway track has other vehicles, all going different speeds, but approximately obeying the 50 MPH speed limit.

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Part-of-Speech-Tagging

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Evaluation-Criteria-for-Segmentation-Networks

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Restricted-Boltzmann-Machines

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Natural-Language-Processing-with-Deep-Learning

NLP

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Experimental-Design

Statistical-Considerations-in-Testing

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Speech-Recognition

Understanding of main components of speech recognition- Reading from a File and Working on and Visualizing Audio Signals-Applying sampling at a certain frequency and converting the signal into the discrete numerical form -Extracting Feature from Speech-Speech Recognition Packages

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Recommendation-System-with-a-Restricted-Boltzmann-Machine-

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Traffic_Sign_Classifier

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Dataset-Analysis-for-Housing-Prices-Prediction

How to work with missing data, data Standardization and normalization, Correlation and Causation, Linear Regression,Multiple Linear Regression, Polynomial Regression, Measures for Evaluation.

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Model-topics-from-documents-using-Latent-Semantic-Analysis-LSA

In this tutorial, you will learn how to discover the hidden topics from given documents using Latent Semantic Analysis in python.

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SFS-A68

A dataset for the segmentation of space functions in apartment buildings

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Catkin-Workspace-for-ROS

ROS provides a powerful build and package management system called Catkin.A Catkin workspace is essentially a directory where Catkin packages are built, modified and installed.

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A Space Access Graph dataset for the Classification of spaces and space elements in Apartment buildings

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Word_analogy-using-embeddings

To measure how similar two vectors (words) are

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Object-Detection--MobileNet-and-MobileNetSSD-

Learn about MobileNets and separable depthwise convolutions. and the SSD (Single Shot Detection) architecture used for object detection.

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How-to-make-a-python-package-and-upload-it-to-pypi-

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Explainability-in-Machine-Learning-Models-for-Credit-approval

Defaulting on credit can significantly impact your ability to borrow money in the future. In this study, we found that a prior default decreases the chance of getting credit by 70 percent. This explanation is based on the analysis of three machine learning models (A, B, and C) which are train on the Credit Approval Dataset.

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keep-track-of-a-vehicle-s-coordinates

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Inference-Performance-in-Tensorflow

In this Repo, I am going to implement various optimizations such as fusion, quantization and machine code compilation to accelerate model prediction then I will walk through how to take advantage of these techniques in Tensorflow.

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A2Amir/Search-Algorithms-A-Star-and-Dynamic-Prgramming

A2Amir

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