ajulyav Goto Github PK

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

dl-multiple-gpu

Some important main concepts on training DL models on multiple GPUs

exercises_greeneyes2

Basic Image Processing and Coco Data Generation

federatedlearning_demo

PROOF OF CONCEPT OF THE FEDERATED LEARNING PLATFORM

foregroundsegmentation

Testing several foreground segmentation algorithms and methods for single stationary cameras

genetic-algorithm-beale-function

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

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.

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.

ipython-notebooks

kalman-filter

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

library_ai

machine_learning_in_3_months

neural_network_mnist

Simple NN for MNIST Recognition

nvflare

NVIDIA Federated Learning Application Runtime Environment

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

practical-exercises-for-the-ficha-team

Basic Image Parsing and Coco Data Generation

scripty-project

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

shepp-logan-phantom-and-3d-surface-extraction

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

simple_pose_annotation

Simple pose and head annotation for a video clip.

tictactoeargame

AR classical tic-tac-toe game

travelling_salesman_problem

Genetic Algorithm and Full Search Realizations

tutorials

MONAI Tutorials

unet-for-ultrasound-super-resolution

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

unsupervised-learning-bootcamp

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