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2wheelrobot_arduino_rotaryenc_speed

this is my attempt at making a two wheeled robot for simulations of different codes. the robot and its PID speed control values are what i found to be best.

accurate-imu-myahrs-plus-python-3-integration

this code is my first attempt at making object oriented code

agenthimzz.github.io

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

auto-kyc

Set of libraries that allow automatic E-KYC. Extracts info from PAN Cards and validates them.

basic-website-iot-integration

A website with IOT integration

classification-between-3-students

Photos for 3 people and CNN for differentiating between them, This was our Deep Learning Class test

coursera-capstone

Coursera Capstone

cpp_project

CPP Project for Tensorflow, IOT and Camera Integration.

deepdeblur_release

Deep Multi-scale CNN for Dynamic Scene Deblurring

django-erp

An open-source ERP system based on Django

flaskproject

basic website fon flask for understaidng various features of pycharm and Flask

frappe

Low Code Open Source Framework in Python and JS

hand-activity-recognition

Classification between Walking and Running

imu-with-dx-100-robot-arm

myAHRS plus with DX100 udp communication to robot arm in PYTHON and matlab

install-opencv-3.4-on-jetson-tx2

This tutorial describes installation process for Jetson TX2.. altough it is very short the time it took me to perform complete installation from Jetpack in Host PC to tensorflow was around 48hrs.. This is my first experience building packages and creating virtual environments..

machine-learning-basics

Data Wrangling, Data Munging, Preprocessing, Date Variables, Models Training and Testing Accuracy

obj-files-zed-camera

odoo

Odoo. Open Source Apps To Grow Your Business.

pca-on-dog-and-cat-images

This is a Repository of Experiment performing PCA on Cat and dog images in a CSV file format. 80 images of Cats and 80 images of dogs are taken. each images has 4096 pixels and 64x64 resolution. we use PCA at 90% to gain only 49 significant features. then we perform Logistic regression. performing LogReg on PCA images we get accuracy of 80%, performing Log Reg on full images results in 84% accuracy. This proves we can use PCA to reduce computation time and increase the size of the dataset.

quasar-admin-crm

Quasar CRM Admin | VueJS Admin | Featuring 3 different dashboards | Give it a star if you find it useful.

schizophrenia-bipolar-disorder-classification

Performing classification on dataset with 2000 labels and 87 samples

testing-jina-for-web-scraping

vue-quasar-company-profile-website

Kudos - Company profile website made using Vue.js and Quasar Framework