Dmitriy Popkov's starred repositories
football_analysis
This repository contains a comprehensive computer vision/machine learning football project that uses YOLO for object detection, Kmeans for pixel segmentation, optical flow for motion tracking, and perspective transformation to analyze player movements in football videos
python-pyodata
Enterprise-ready Python OData client
Soccermatics
A template for creating a course with readthedocs.
streamlit-on-Hover-tabs
Custom tabs for on hover streamlit navigation bar created by custom css
FootballPassPrediction
Football/Soccer Pass Receiver Prediction using Object Detection/Graph Neural Networks (GNNs)
soccer_player_tracking
An implementation to track Soccer players on any random video. The model also detects background such as crowd and hoardings.
Soccer-Analyses
The code here is pretty much everything I use to create my datasets (from FBRef) or visuals. Most my scatter plots are made in Tableau, though, using the dataset created from the FBRef dataset download
Tensorflow_Object_Detection_with_Tensorflow_2.0
Soccer Player recognition using TensorFlow 2 Object Detection API With Google Colab
streamlit-searchbox
Streamlit searchbox that dynamically updates and provides a list of suggestions based on a provided function
ydata-profiling
1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.
oh-my-backend
Что нужно знать бэкенд-разработчику web-приложений. Backend Roadmap (from Junior to Senior).
streamlit-autorefresh
An autorefresh component for Streamlit apps
epl-fantasy-geek
English Premier League 2017-18 Fantasy Stats for Geeks
how-to-develop-perfect-crud
👨💻 🇬🇧 Good practices for developing back-end apps 🇷🇺 Хорошие практики разработки типичных back-end приложений