Valentyn N Sichkar's repositories
Reinforcement_Learning_in_Python
Implementing Reinforcement Learning, namely Q-learning and Sarsa algorithms, for global path planning of mobile robot in unknown environment with obstacles. Comparison analysis of Q-learning and Sarsa
Neural_Networks_for_Computer_Vision
Implementing Neural Networks for Computer Vision in autonomous vehicles and robotics for classification, pattern recognition, control. Using Python, numpy, tensorflow. From basics to complex project
Intelligent_Mobile_Robot
Intelligent Navigation System of mobile robot with ten Ultrasonic sensors, user interface via C# Windows Form Application, instructions and videos on how to assemble mobile robotic platform
Matlab_implementation_of_Neural_Networks
Matlab implementation of Neural Networks Results for Alarm-Warning Control System of mobile robot with five Ultrasonic sensors
Traffic-Signs-dataset-in-YOLO-v3-format
YOLO v3 format of traffic signs dataset to train and test detector
Knowledge_Base_Represented_by_Semantic_Web_Language
Semantic Web languages OWL and RDF for knowledge representation of Alarm-Warning system for mobile robot showing the states for each sensor
Traffic-Signs-Classification-with-CNN
Effective Traffic Signs Classification by CNN
What-is-mAP-for-Objects-Detection-tasks-
Understanding of use of mAP as a metric for Objects Detection problems
Image_processing_in_Python
Image processing in Python. Reading, converting to different formats, implementing filtering, convolving images, detecting edges, cropping and resizing images
Machine_Learning_in_Python
Practical experiments on Machine Learning in Python. Processing of sentences and finding relevant ones, approximation of function with polynomials, function optimization
1-million-images-for-Traffic-Signs-Classification-tasks
Applied geometric transformations for Traffic Signs images
identify-moving-direction-opencv-python
Moving direction OpenCV Python
traffic_sign
Traffic Sign Classification with Convolutional Neural Networks in Python
XML_files_in_Python
Examples on how to process xml files in Python
Traffic-Signs-dataset-in-YOLO-v5-format
YOLO v5 format of the traffic signs dataset to train and test detector
What-is-YOLO-format
How does annotated image in YOLO format looks like? Analyze txt annotation file.
2D-Image-Convolution-Numpy-Tensorflow-Keras
Instructions on how to use Tensorflow and Keras functions ‘get_weights()’ and ‘set_weights()’.
circumference
Calculate circumference of different figures
Convolution-in-Real-Time-by-camera
Demonstrate convolution in Real Time by camera. Visualize object contour. Compute and draw bounding box by contours coordinates
Creating_an_array_of_spiral_form_using_lists_in_Python
Using lists create an array of spiral form in Python
sichkar-valentyn.github.io
Valentyn N. Sichkar. GitHub Scholar Page
Track-object-via-convolution-in-Real-Time
Track movement of the object via convolution in Real Time. Calculate object centre and visualize tracker line
Unique-Words-Count
Counting Unique Words in the given txt files by using Binary Search Tree
YOLO-v3-Objects-Detection-with-Custom-Data
Course on how to build your own Detector based on YOLO version 3 algorithm