Amir Ziaee (A2Amir)

A2Amir

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Location:Watching loss function

Home Page:www.linkedin.com/in/Ziaee-A-Amir

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Amir Ziaee's repositories

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.

Language:C++License:MITStargazers:17Issues:3Issues:0

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

The goal of this project is to use a Extended Kalman Filter to estimate the state of a moving object of interest with noisy lidar and radar measurements.

Language:C++License:Apache-2.0Stargazers:6Issues:2Issues:0

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

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

Language:Jupyter NotebookLicense:MITStargazers:5Issues:2Issues:0

Motion-Model-of-a-Car

Motion models are description of the physics of a vehicle.

License:MITStargazers:3Issues:2Issues:0

Particle-Filters

In this section, you will learn about particle filters for estimating the state of a system

Language:Jupyter NotebookLicense:MITStargazers:3Issues:2Issues:0

Anomaly-Detection

How to detect anomalies in a dataset

Language:Jupyter NotebookStargazers:2Issues:2Issues:0

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.

Language:Jupyter NotebookLicense:Apache-2.0Stargazers:1Issues:2Issues:0

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

The goal of this ptoject is to figure out how far a car moved in the x direction (delta x) and y direction (delta y) to draw a trajectory.

Language:Jupyter NotebookLicense:MITStargazers:1Issues:2Issues:0

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.

Language:Jupyter NotebookLicense:GPL-3.0Stargazers:1Issues:2Issues:0

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

Language:Jupyter NotebookStargazers:1Issues:1Issues:0

Traffic_Sign_Classifier

It is about deep neural networks and convolutional neural networks to classify traffic signs

Language:Jupyter NotebookLicense:MITStargazers:1Issues:2Issues:0

Word_analogy-using-embeddings

To measure how similar two vectors (words) are

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Advanced-Lane-Line-Finding

In this project, the goal is to write a software pipeline to identify the lane boundaries in a video from a front-facing camera on a car

Language:Jupyter NotebookLicense:MITStargazers:0Issues:2Issues:0

CarND-LaneLines-P1

Lane Finding Project for Self-Driving Car ND

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cs224u

Code for Stanford CS224u

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Finding-Lane-Lines-on-the-Road

In this project, we will use the tools to identify lane lines on the road.

Language:Jupyter NotebookLicense:MITStargazers:0Issues:0Issues:0

Imlementaion-of-the-DecisionTree-PCA-Apriori-algorithms-in-Matlab

In this repository i am going to implement Decision Tree, Principle Component Analysis, Apriori in Matlab with an example.

Language:MATLABLicense:MITStargazers:0Issues:2Issues:0

Introduction-of-Localization

Localization answers a question, where is a car or robot in a given map with a high accuracy.

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Keras-Group-Normalization

A Keras implementation of https://arxiv.org/abs/1803.08494

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