Name: Akbarali Otakhanov
Type: User
Company: KEFA - Korea Environment & Facility Analysis
Bio: š¼ Software Engineer
Twitter: AOtakhanov
Location: Changwon, South Korea
Blog: http://ke-fa.com/default/
Akbarali Otakhanov's Projects
This is examples of the implementation of the SOLID Principles in .NET
Automation Anywhere 11.X Sample Bot
2-D Kalman Filter for Tracking a randomly moving object
The winning method in Track 1 and Track 3 at the 2nd AI City Challenge Workshop in CVPR 2018 - Official Implementation
a single Person image is changed into 3D from 2D using PyTorch
Config files for my GitHub profile.
This is our small project on Arduino Uno micro-controller board.
Python implementation of Ball tracking using OpenCV and CvBridge in ROS
This model can help to predict Malignant and Benign cases in Patients using over 30 features.
Journey to C# Understanding from Beginner to Advanced
Chart.js plugin to calculate and draw statistical linear, exponential, power, logarithmic, and polynomial regressions.
Python solutions to Codeforces problems
Colorizing Old Images using Deep Learning Model
dash-gpt3-chatbot
Deep Learning Project - Image and Video Detection
Simple Online Realtime Tracking with a Deep Association Metric
.NET code samples used on https://cloud.google.com
Entity Framework 6 Code-First Demo Project
This is an easy way of Emoji Converter using Python Programming Language
Cancer Segementation API using Deep Learning Model
It will be demonstrated how to use the fine-tuned VGG16 model on Cat&Dog CNN from keggle dataset
Keras - Python Deep Learning Neural Network API/Process Images For Fine-Tuned MobileNet With TensorFlow's Keras API
Typed .NET Firestore client built on top of the official client
How to use Fitbit API for getting access to user's dataset in JavaScript
Fast Moving Objects Detection (demo version)
:fork_and_knife: Food Nutrients
A notebook showcasing how to use mediapipe holistic for body tracking.