Aleksei Pronkin (alexey-pronkin)

alexey-pronkin

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Location:Moscow

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Aleksei Pronkin's repositories

asynctwitch

asynchronous twitch chat lib

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CloudCross

CloudCross it's opensource crossplatform software for syncronization a local files and folders with many cloud providers. On this moment a Cloud Mail.Ru, Yandex.Disk, Google drive, OneDrive and Dropbox support is available

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corner_poolings

Corner poolings from https://github.com/princeton-vl/CornerNet/tree/master/models/py_utils/_cpools

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Covid-19-spread-prediction

Automatic short-term covid-19 spread prediction by countries and Russian regions

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csgo_demo_parser

CS:GO Demo file parser library

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demoinfo-csgo-python

Prototyping with CSGO demo parsing in python

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demoinfogo-linux

Linux, OSX port of Valve's demoinfogo tool

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demucs

Code for the paper Music Source Separation in the Waveform Domain

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Detectron

FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.

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Flask-Music-app

A Music player app in Flask which can manage playlists,Download songs,etc;

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gan-optimization

Lan's Gradient Sliding and The Ellipsoid method are examined as tools for training Generative Adversarial Networks.

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gpytorchopt

Work in progress repo for Bayesian Optimization using GPyTorch

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maskrcnn-benchmark

Fast, modular reference implementation of Instance Segmentation and Object Detection algorithms in PyTorch.

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ml-resources

Personal and biased selection of ML resources

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mmdetection

Open MMLab Detection Toolbox

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mp3hash

Music file hasher

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pychorus

Python module for detecting musical choruses

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rust_csv_filter

homework for skoltech rust isp course

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skoltech_stm32_course

This repo contains slides used for lectures conducted at Skoltech during ISP period

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Soundcloud-Scraper

A Scrapy spider to scrape user and track information from SoundCloud.

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spleeter

Deezer source separation library including pretrained models.

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stm32f0_ARM

STM32 Cortex-M0 projects

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The-Elements-of-Statistical-Learning-Python-Notebooks

A series of Python Jupyter notebooks that help you better understand "The Elements of Statistical Learning" book

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