sergey-msu
Ph. D. in Mathematics and Mechanics (2010, Moscow State University, Moscow, Russia) Professional .NET/Python developer Inspired by math, ML, perfect code
Georgia
Pinned Repositories
competitive-data-science
Coursera Competitive Data Science course
data-science-interviews
Data science interview questions and answers
fastapi-microservice-template
Microservice project template based on FastAPI (JWT auth as an example is taken)
manhattan-math
The Book
ML
Machine Learning Framework
ml-intro
Machine Learning Intro Course
ml-spec
nft-auction
nfx
C# Server UNISTACK framework
ods-course-2018
Materials for Open Data Science course feb.-apr. 2018
sergey-msu's Repositories
sergey-msu/data-science-interviews
Data science interview questions and answers
sergey-msu/fastapi-microservice-template
Microservice project template based on FastAPI (JWT auth as an example is taken)
sergey-msu/manhattan-math
The Book
sergey-msu/nft-auction
sergey-msu/notebook
Different notes
sergey-msu/awesome-radar-perception
A curated list of radar datasets, detection, tracking and fusion
sergey-msu/awesome-ton
A curated list of remarkable libraries, tools, services, protocols, and smart contracts related to TON.
sergey-msu/azos
A to Z Sky Operating System / Microservice Chassis Framework
sergey-msu/books
sergey-msu/curve-core
Deploy a standardised set of smart contracts powering Curve.fi with a simple CLI command.
sergey-msu/django-auth
sergey-msu/django-template
sergey-msu/ethereum-pos-testnet
💻⛓️ A Quick and Easy Way to Bootstrap your own Local Ethereum PoS Testnet. Great for testing consensus ⛓️💻
sergey-msu/fairseq
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
sergey-msu/fastapi-best-practices
FastAPI Best Practices and Conventions we used at our startup
sergey-msu/made-2020-ml-hw4
MADE 2020 ML Demo
sergey-msu/made-2021-bigdata
sergey-msu/made2021-project
sergey-msu/mail-data-school
sergey-msu/ml-handbook
Glossary of main ML terms
sergey-msu/Password-generator
Password generator
sergey-msu/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
sergey-msu/rollup-example
sergey-msu/TEPs
sergey-msu/ton
sergey-msu/ton-binaries
Pre-compiled useful TON binaries (fift, func, lite-client) for multiple operating systems
sergey-msu/ton-lottery
Simple ton lottery example
sergey-msu/ton-x
Web 3 connector for TON wallets
sergey-msu/ton-x-hello-session
sergey-msu/torchdiffeq
Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.