generative-adversarial-network--gan-

In this Repo I will explain and code the mathematical principles of the

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.

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

This repo is about creating python pakages and uploading them to pypi.

hypothesis-testing-and-a-b-testing

In this Repo we are looking at the null and alternative Hypothesis, Error Types, P Value, Bonferroni Coreection.

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.

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++.

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.

introduction-of-localization

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

introduction-to-numpy-and-pandas

This repo is about introductions to Numpy and Pandas with the exercises as they are used in data science.

introduction-to-ros--robot-operating-system

This lesson is all about the Robot Operating System or ROS for short

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.

keras-group-normalization

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

keras-unet-collection

The Tensorflow, Keras implementation of U-net, V-net, U-net++, UNET 3+, Attention U-net, R2U-net, ResUnet-a, U^2-Net, TransUNET, and Swin-UNET with optional ImageNet-trained backbones.

knodle

A PyTorch-based open-source framework that provides methods for improving the weakly annotated data and allows researchers to efficiently develop and compare their own methods.

machine-learning-pipelines

In this Repo, I am going to implement a message classifier by automating the machine-learning workflows with pipelines using the dataset of corporate messaging as a case study

machine-translation

In this notebook, I will build a deep neural network that functions as part of an end-to-end machine translation pipeline. My completed pipeline will accept English text as input and return the Persian translation.

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.

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.

motion-model-of-a-car

Motion models are description of the physics of a vehicle.

natural-language-processing-with-deep-learning

NLP

nlp-and-pipelines

This Repo give you an overview of how to design an end-to-end NLP pipeline.

object-detection--mobilenet-and-mobilenetssd-

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

part-of-speech-tagging

In this notebook, you'll use the Pomegranate library to build a hidden Markov model for part of speech tagging with a universal tagset.

particle-filters

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

pid-control

Control algorithms are often called controllers and one of the most common and fundamental controllers is the PID controller. In this lesson, you will learn how to implement a PID controller in Python.

pix2pix-for-semantic-segmentation-of-satellite-images

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

polygonization-of-segmentation-networks

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.

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.

prostate-segmentation

In this repository, I tried to segment prostate images (MRI) using Deep Learning networks.