Name: Konstantin Dorichev
Type: User
Company: Check out my CV repo
Bio: Machine Learning and Data Science Enthusiast with 13 year of experience in telecom and 9 years in IT.
Twitter: kdorichev
Location: Saint Petersburg, Russia
Blog: https://sigmoid.social/@kd
Konstantin Dorichev's Projects
"Applied Machine Learning in Python" сourse, University of Michigan
Sharpen my C skills
Template for writing your own contributing guide
A technical report on convolution arithmetic in the context of deep learning
After watching all the videos of the famous Standford's CS231n course that took place in 2017, i decided to take summary of the whole course to help me to remember and to anyone who would like to know about it. I've skipped some contents in some lectures as it wasn't important to me.
Hire me. Fresh Curriculum vitæ.
Computer Vision Edge Detection
My study of Deep Learning
Project Euler
:books: Freely available programming books
Share the Gospel Howto
My solutions to the hackerrank.com problems.
This repository contains small projects related to Neural Networks and Deep Learning in general. Subject are closely linekd with articles I publish on Medium. I encourage you both to read as well as to check how the code works in the action.
Malaria Cells Image Classification with Convolutional Neural Network and Fast.AI library
AWS web app for image classification: busses, cars ot motorbicycles.
Упражнения курса "Python. Базовый уровень" (Инжинириум МГТУ им. Н.Э. Баумана)
A library of Python functions for JoshuaProject.net API v2
Tasks from Coursera Python courses and more.
Companion webpage to the book "Mathematics For Machine Learning"
Ministry materials inspired by The Navigators
Корпус ненормативной лексики русского языка для нужд NLP. Любые исправления и дополнения приветствуются
Python Data Science Handbook: full text in Jupyter Notebooks
Russia Religious Landscape in comparison with Urkaine
Accentor and transcriptor for Russian language
Materials for my scikit-learn tutorial
VIP cheatsheets for Stanford's CS 229 Machine Learning
VIP cheatsheets for Stanford's CS 230 Deep Learning
Text-to-Speech models based on the NVIDIA's examples.