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Name: Ruslan Sabirgaliev
Type: User
Company: MIPT
Bio: 6th year student of MIPT
Location: Russia
Name: Ruslan Sabirgaliev
Type: User
Company: MIPT
Bio: 6th year student of MIPT
Location: Russia
Ambrosia is a Python library for A/B tests design, split and result measurement
Data Science Notes collected from Various Sources
Coursera Specialization: Deep Learning (Andrew Ng, deeplearning.ai)
Coursera Specialization: Machine Learning and Data Analysis (Yandex & MIPT)
Dive into Deep Learning in 1 Day at ODSC 2019
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 400 universities from 60 countries including Stanford, MIT, Harvard, and Cambridge.
This project reproduces the book Dive Into Deep Learning (www.d2l.ai), adapting the code from MXNet into PyTorch.
A library for efficient similarity search and clustering of dense vectors.
A Python Finance Library that focuses on the pricing and risk-management of Financial Derivatives, including fixed-income, equity, FX and credit derivatives.
🐳 Проектная деятельность. Здесь хранятся лекции, практические задания и проекты с karpov_courses. Ссылка: https://karpov.courses/
Fast and customizable framework for automatic ML model creation (AutoML)
Google Chrome, Firefox, and Thunderbird extension that lets you write email in Markdown and render it before sending.
Ordinal regression algorithms
Usefull python code usage
Преобразует число в текст с учетом plural forms (сумма прописью python). Русский язык.
Official repository for "Orthogonal Projection Loss" (ICCV'21)
Optimal binning: monotonic binning with constraints. Support batch & stream optimal binning. Scorecard modelling and counterfactual explanations.
Pytorch Metric Learning SIGNATE: https://signate.jp/competitions/406
Python lessons with theory, practice and exercises. Numpy, scipy, pandas, jupyter notebook, etc.
Materials for the Learn PyTorch for Deep Learning: Zero to Mastery course.
A library built upon PyTorch for building embeddings on discrete event sequences using self-supervision
PyTorch EO aims to make Deep Learning for Earth Observation data easy and accessible to real-world cases and research alike.
Ordinal regression models in PyTorch
Source code to reproduce experiments from the article Practitioner’s Guide to Statistical Tests
Python agent string parser based on Udger https://udger.com/products/local_parser
Yandex Cup 2022 4th solution training & inference repo
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.