Pouya Ardehkhani's Projects
ActTensor: Activation Functions for TensorFlow. https://pypi.org/project/ActTensor-tf/ Authors: Pouya Ardehkhani, Pegah Ardehkhani
This repo contains implementation of some known algorithms in 3 programming languages (Java, Python, C++).
Fast inference on ArcaneGAN with the help of pretrained models.
Barcode, QR Generation and Reading using python packages
We use Restricted Boltzmann machines to build a 1-0 recommender system for movies.
This is a simple repo to change numbers to binary and different popular bases.
It's some kind of a Excel program with graphical interface. this is a project for my university. In Description section you will learn more about my project according to our given project description.
Detected blood cells in images using yolov5s.
This app contains an order flow for detecting cat vs dogs with help of a tensorflow lite model.
Implementation of Circularly Linked List.
This is a Google Colab notebook for compressing/decompressing files/folders in Google Colab
This app contains an order flow for cupcakes with options for quantity, flavor, and pickup date. The order details get displayed on an order summary screen and can be shared to another app to send the order.
Using CycleGAN for turning horses to zebras by TensorFlow from scratch.
This is a game with dice in which the person sitting at the bottom of the machine determines the number of rounds of the game, enters the names of the players, then the program rolls two dice for each round and adds the values as points. The person thinks that the person who wins the round every time he reaches seven points, one round takes a long time for one of the players to bring the number 7. Finally, a winner is introduced as the winner of the whole game.
This project intends to show the ways we can perform dimensionality reduction techniques on our data.
Implementation of Doubly LinkedList using java.
This notebook provides some skills to perform Feature-Engineering on data.
This project intends to show the ways we can perform feature selection on our data.
This notebook provides some skills to perform financial analysis on economical data.
With help of a pretrained TFLite model on ImageNet dataset we will classify real time video stream with mobile phone camera and show the result of the highest class that our model predicted.
This is a basic template of how to use LaTeX to write a professional document.
This is some basic template of how to use matplotlib for data visualization and plotting.
simple streamlit application for converting English texts to morse code and mosre code to English. https://morse-code-translater-mo4yoyxaygfj5e6aclgjqp.streamlit.app/
Neural Style Transfer techniques using TensorFlow to transfer style of an image based on an another image.
This is a basic template of how to use numpy for machine learning and statistical analysis or even math problems.
With help of a pretrained TFLite model on COCO dataset we will detect real time objects through video stream with help of mobile phone camera and show the result of the highest class that our model predicted with its bounding box.
Simple app that locates and write back every text in a picture. This is done by android ml package.
Exploring different methods available in Opencv in Python.
This is a basic template of how to use pandas.
In this project, we focus on different ways to optimize a machine learning model parameters.
React
Typescript
Django
Laravel
Facebook
Microsoft
Google
Alibaba
D3
Tencent