ajulyav

5months_study_plan

APS-Failure-at-Scania-Trucks

Predicting APS Failure at Scania Trucks Data Set

Auto-encoding-Variational-Bayes

A real world application of variational inference is presented by doing approximate inference in a real model

FederatedLearning_Demo

PROOF OF CONCEPT OF THE FEDERATED LEARNING PLATFORM

Foregroundsegmentation

Testing several foreground segmentation algorithms and methods for single stationary cameras

Kalman-Filter

Tracking of objects with means of the Kalman Filter for single stationary cameras of various video sequences

NVIDIA_FLARE

Guide (based on my experiments) on NVIDIA FLARE™ (NVIDIA Federated Learning Application Runtime Environment)

Object-Detection-and-Classi-cation-Grass-Fire

This code is focused on developing a blob extraction and classification method using Grass-Fire and statistical-classifier

Travelling_salesman_problem

Genetic Algorithm and Full Search Realizations

UNet-for-Ultrasound-Super-Resolution

UNet Architecture for Medical Ultrasound Image Super-Resolution (SISR)

ajulyav/UNet-for-Ultrasound-Super-Resolution

UNet Architecture for Medical Ultrasound Image Super-Resolution (SISR)

ajulyav/FederatedLearning_Demo

PROOF OF CONCEPT OF THE FEDERATED LEARNING PLATFORM

ajulyav/Kalman-Filter

Tracking of objects with means of the Kalman Filter for single stationary cameras of various video sequences

ajulyav/NVIDIA_FLARE

Guide (based on my experiments) on NVIDIA FLARE™ (NVIDIA Federated Learning Application Runtime Environment)

ajulyav/5months_study_plan

ajulyav/APS-Failure-at-Scania-Trucks

Predicting APS Failure at Scania Trucks Data Set

ajulyav/Auto-encoding-Variational-Bayes

A real world application of variational inference is presented by doing approximate inference in a real model

ajulyav/Foregroundsegmentation

Testing several foreground segmentation algorithms and methods for single stationary cameras

ajulyav/Object-Detection-and-Classi-cation-Grass-Fire

This code is focused on developing a blob extraction and classification method using Grass-Fire and statistical-classifier

ajulyav/Travelling_salesman_problem

Genetic Algorithm and Full Search Realizations

ajulyav/DL-multiple-GPU

Some important main concepts on training DL models on multiple GPUs

ajulyav/Exercises_GreenEyes2

Basic Image Processing and Coco Data Generation

ajulyav/Genetic-Algorithm-Beale-Function

Genetic Algorithm for Global Optimization of Multimodal Function (Beale Function)

ajulyav/Histogram-based-object-tracking

The algorithms are implemented using C++ and Open CV. The report represents the detailed evaluation of the algorithms by analyzing the strengths and weaknesses of the different features that compose the pipeline of the algorithm.

ajulyav/Implementing-a-Neural-Network-from-scratch

Getting familiar with the implementation of neural networks from scratch in Python with numpy, and understanding the principles of training and testing such networks.

ajulyav/ipython-notebooks

ajulyav/Library_AI

ajulyav/Machine_Learning_in_3_Months

ajulyav/Neural_Network_MNIST

Simple NN for MNIST Recognition

ajulyav/NVFlare

NVIDIA Federated Learning Application Runtime Environment

ajulyav/Practical-Exercises-for-the-Ficha-team

Basic Image Parsing and Coco Data Generation

ajulyav/scripty-project

Open source code for analyzing Tiktok videos and Instagram Reels for creating custom video sketches based on the received template

ajulyav/Shepp-Logan-phantom-and-3D-surface-extraction

The goal is to be able to extract surfaces from a pre-segmented phantom image.

ajulyav/Simple_Pose_Annotation

Simple pose and head annotation for a video clip.

ajulyav/TicTacToeARGame

AR classical tic-tac-toe game

ajulyav/tutorials

MONAI Tutorials

ajulyav/Unsupervised-Learning-bootcamp

Throughout this assignment, there are specific well-defined tasks that’ll strengthen some concepts in Unsupervised Learning.