yisaienkov

Humans-Not-Invited-Problem

Solve the Humans Not Invited problem

evaluations

This library implements various metrics (including Kaggle Competition, Medicine) for evaluating ML, DL, AI models, and algorithms. 📐📊📈📉📏

this_flower_does_not_exist_demo

Interface for generating 💐flowers💐 using GANs

ai-celery-fastapi-template

ai-elasticsearch-template

ai-redis-queue-template

data-control-experiments

target_class_transformation_for_segmentation_task_tool

ai-airflow-template

ai-aws-demo-segmentation-service

ai-aws-demo-streamlit

ai-docker-template

ai-gradio-template

ai-kafka-template

ai-mongodb-template

ai-mtcnn-template

ai-rembg-streamlit

ai-segmentation-template

ai-spark-template

ai-streamlit-graph-template

ai-tracking-template

ai_streamlit_every_earthquake

albumentations

Fast image augmentation library and an easy-to-use wrapper around other libraries. Documentation: https://albumentations.ai/docs/ Paper about the library: https://www.mdpi.com/2078-2489/11/2/125

dvc_demo

glasses_classification

imagenet-classification-web-app

Simple Flask application for image classification with PyTorch using Docker

ml_course_onseo

PinkBot

Python lib for creating bots

random_models

test_ml_course_onseo