alfir-v10

crack_segmentation

This repository contains code and dataset for the task crack segmentation using two architectures UNet_VGG16, UNet_Resnet and DenseNet-Tiramusu

Crack-Semantic-Segmentation

Real time crack segmentation using PyTorch, OpenCV and ONNX runtime

Competitive_Data_Science

Материалы по курсу анализу данных

rocket-fft

Rocket-FFT makes Numba aware of numpy.fft and scipy.fft. Rocket-FFT takes its name from the PocketFFT Fast Fourier Transformation library that powers it, and Numba's goal of making your scientific Python code blazingly fast - like a rocket. 🚀

fastapi-best-practices

FastAPI Best Practices and Conventions we used at our startup

investAPI

awesome-aiogram

A curated list of awesome aiogram templates, libraries, open-source bots and resources

aiogram

aiogram is a modern and fully asynchronous framework for Telegram Bot API written in Python using asyncio

metrics

📊 An infographics generator with 30+ plugins and 300+ options to display stats about your GitHub account and render them as SVG, Markdown, PDF or JSON!

generating-sound-with-neural-networks

Code and slides for the "Generating Sound with Neural Network" series on The Sound of AI Youtube channel.

phd

A list of resources on how/why to do a PhD

public-apis

A collective list of free APIs

fastapi

FastAPI framework, high performance, easy to learn, fast to code, ready for production

deep-learning-school

Официальный репозиторий курса Deep Learning (2018-2021) от Deep Learning School при ФПМИ МФТИ

supershad

Решения вступительных заданий в Школу анализа данных (ШАД)

applied-ml

📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.

intro-to-dl-hse

Введение в глубинное обучение на ФКН ВШЭ

bootcamp_machine-learning

Bootcamp to learn basics in Machine Learning

LeetCode

At present contains scraped data from around 1500 problems present on the site. More to follow....

coding-interview-university

A complete computer science study plan to become a software engineer.

catboost

A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.

AITensorFlowSpecialization

My notes for coursera course AI TensorFlow in Practice Specialization.

DeepLearning.ai-Summary

This repository contains my personal notes and summaries on DeepLearning.ai specialization courses. I've enjoyed every little bit of the course hope you enjoy my notes too.

100-Days-Of-ML-Code

100 Days of ML Coding

pr201

Probability theory and statistics seminars in hse (russian language)

all-42-subjects

100_Numpy_exercises_Rus_ver

100 упражнений по numpy версия на русском

selenium

A browser automation framework and ecosystem.

DeepLearningExamples

State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.

Machine-Learning-with-Python

Practice and tutorial-style notebooks covering wide variety of machine learning techniques