koluzaeva's repositories
amazon-sagemaker-examples
Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.
DL_intensive-MADE-
Final task Deep Learning Basic
made_advance_python_autumn_2022
Материалы для курса по продвинутому изучению Python в MADE, осень 2022
made_opt_in_ml
MADE course on Optimization Methods in Machine Learning
made_recsys-2023
hw 1
ml-course
Open Machine Learning course
recsys-itmo-spring-2023
made recommendation systems course
roboflow_notebooks
Examples and tutorials on using SOTA computer vision models and techniques. Learn everything from old-school ResNet, through YOLO and object-detection transformers like DETR, to the latest models like Grounding DINO and SAM.
sagemaker-jumpstart-generative-ai-examples
Unlocking Creativity: Generative AI with SageMaker Jumpstart
segment-anything
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
TableExtractor-Advanced-PDF-Table-Extraction
PDF Table Extractor is an innovative Python project designed to tackle the challenge of extracting tables from scanned PDF documents. Leveraging advanced optical character recognition (OCR) and image processing techniques.
vk-academy-dl-cv
"Basic Deep Learning" and "NNs for Computer Vision" courses materials at VK Data Academy.