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Name: Emin Tagiev
Type: User
Name: Emin Tagiev
Type: User
It covers deep learning, reinforcement learning, natural language understanding, computer vision and Bayesian methods. Touch base with the real-world problems. By National Research University Higher School of Economics
Pytorch implementation of the paper: "Aff-Wild2: Extending the Aff-Wild Database for Affect Recognition"
Fast image augmentation library and an easy-to-use wrapper around other libraries. Documentation: https://albumentations.ai/docs/ Paper about the library: https://www.mdpi.com/2078-2489/11/2/125
Code for APDrawingGAN: Generating Artistic Portrait Drawings from Face Photos with Hierarchical GANs (CVPR 2019 Oral)
The qualification task is related to the Cesium calibration for ATLAS Tile Calorimeter.
The repository contains my solutions for the tasks proposed by "Basics of C ++ Development: White Belt" course on Coursera.
YOLOv5 in PyTorch > ONNX > CoreML > TFLite
Notes and practical tasks for DS/ML/AI courses
Code for Data Engineer Zoomcamp course
This repo contain the syllabus of the Hugging Face Deep Reinforcement Learning Class.
Example Repo for the Udemy Course "Deployment of Machine Learning Models"
The repository contains mainly my solutions for the homework given on "Data mining in action" courses. The courses are aimed to give the basic knowledge about machine learning methods and data science.
The repository contains my solutions for the homework given on "Data mining in action: Industry" courses. The courses are aimed to give the basic skills on how to apply the machine learning methods in industry and business.
The system, that greets Sberbank Laboratory staff via visual avatar Elena.
PyTorch implementation of Emotic CNN methodology to recognize emotions in images using context information.
The world's simplest facial recognition api for Python and the command line
Facial expression recognition package built on Pytorch and FER+ dataset from Microsoft.
Web application to demostrate the work of the fer-pytorch package, built on FER+ dataset: https://github.com/Emilien-mipt/fer-pytorch
This repository is devoted to the competition held at "HackerEarth" platform. The task is to detect the emotions of the main characters from Tom&Jerry cartoon.
This repository contains the solutions to the algorithms and data structures problems that are usually asked on technical interviews.
The repository contains the solution to the identification problem held at Kaggle. The task is to classify the type of disease present on a Cassava Leaf. The link to the competition: https://www.kaggle.com/c/cassava-leaf-disease-classification/overview
This repository contains my solution to the private competition from Kaggle - "Classify forest types based on information about the area".
The repository contains the solution to the segmentation problem held at Kaggle. The task was to identify glomeruli in human kidney tissue images. The link to the competition: https://www.kaggle.com/c/hubmap-kidney-segmentation
Cleaned vs Dirty V2 - Classify if a plate is cleaned or dirty?
My solution to the Machines Can See 2022 competition from Vision Labs: https://ods.ai/competitions/mcs_car_verification
Neural-ILT, An End-to-end Learning-based Mask Optimizer
Unofficial pytorch implementation of 'Arbitrary Style Transfer in Real-time with Adaptive Instance Normalization' [Huang+, ICCV2017]
The repository contains my solutions for the tasks proposed by "Algorithms and data structures" specialisation on Coursera organised by University of California San Diego & National Research University Higher School of Economics.
Course description in Russian: В этом курсе по программированию на языке Python вы познакомитесь с базовыми понятиями программирования. Едва ли возможно научиться программировать без практики, поэтому в качестве домашних заданий вам будет предложено довольно много задач, в которых вы сможете потренировать своё умение программировать. Ваши решения будут проверяться автоматической системой, поэтому вы будете получать быструю обратную связь. В силу большого количества участников курса, преподаватели не смогут давать индивидуальных советов по каждой программе, но если у вас будут возникать проблемы, то их всегда можно обсудить с однокурсниками в комментариях к задачам. Также в курсе присутствует несколько задач повышенной сложности, которые являются необязательными для прохождения курса, однако желающие смогут поломать голову над придумыванием алгоритмов и реализацией программ к этим задачам. Курс подготовлен на базе программы Института биоинформатики.
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.