Spartak's repositories
ToDoListLibrary
Todo list library that can be used with any .net framework
ML-YouTube-Courses
📺 Discover the latest machine learning / AI courses on YouTube.
Neovim-config
My neo-vim configuration for C# support
string_categorical_encoders
Scripts for paper "Encoding high-cardinality string categorical variables"
amazon-sagemaker-examples
Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.
Smile-detector
Smile detecor script, that connects to webcam, detects smile and takes a photo
dagster
An orchestration platform for the development, production, and observation of data assets.
Dash_dashboard_movies
IMDB movies dashboard built by dash
encodec
State-of-the-art deep learning based audio codec supporting both mono 24 kHz audio and stereo 48 kHz audio.
excalidraw
Sketch hand-drawn like diagrams
jumpcutter
Automatically edits vidx. Explanation here: https://www.youtube.com/watch?v=DQ8orIurGxw
jupyterlab-vim
:neckbeard: Vim notebook cell bindings for JupyterLab
MI-EEG-1D-CNN
A new approach based on a 10-layer one-dimensional convolution neural network (1D-CNN) to classify five brain states (four MI classes plus a 'baseline' class) using a data augmentation algorithm and a limited number of EEG channels. Paper: https://doi.org/10.1088/1741-2552/ac4430
Public_data
This repo includes data from public sources on useful for different ML tasks (grouped and referred in ReadMe).
Regression_coef_analysys
Distribution analysys of a linear regression coeficients