Maksim (max1mka1)

max1mka1

Geek Repo

Company:CSU

Location:Amsterdam

Home Page:https://max1mka1.github.io/my_resume2/

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Maksim's repositories

Personnel-Faces-Identification

Реализация системы идентификации сотрудников предприятия по лицу при помощи общеизвестных библиотек (Dlib, Face-recognition, OpenCV, etc.). Система реализована на языке Python и представляет из себя веб-сервис и API с возможностью развертывания в Docker.

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text_analysis_tasks

Решаем задачи анализа текста методами ООП на Python, используя регулярные выражения (regex) [методы библиотеки re]. Те же задачи решены, основываясь на методологии структурного программирования (notOOP).

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clothing-classification

Clothing classification project for Jovian cource PyTorch: Zero to GANs. Course Project Final Submission

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HuBMAP-Hacking-the-Kidney

HuBMAP Kaggle Competition - Hacking the Kidney Identify glomeruli in human kidney tissue images

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Level_detection_GUI

Level_detection + GUI interface

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data-science-from-scratch

code for Data Science From Scratch book

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Deep-Learning-For-Hackers

Machine Learning tutorials with TensorFlow 2 and Keras in Python (Jupyter notebooks included) - (LSTMs, Hyperameter tuning, Data preprocessing, Bias-variance tradeoff, Anomaly Detection, Autoencoders, Time Series Forecasting, Object Detection, Sentiment Analysis, Intent Recognition with BERT)

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deep_learning_2018-19

Официальный репозиторий курса Deep Learning (2018-2019) от Deep Learning School при ФПМИ МФТИ

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DeepPavlov

An open source library for deep learning end-to-end dialog systems and chatbots.

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DeepSpeed

DeepSpeed is a deep learning optimization library that makes distributed training easy, efficient, and effective.

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edadil-parser

edadil-parser

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google-images-download

Python Script to download hundreds of images from 'Google Images'. It is a ready-to-run code!

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Level_detection

This laptop determines the electrolyte level from a photograph. The distance to the object with a liquid of 10 cm, against the background should not be other objects. First, the electrolyte cluster is recognized on the training set of the k-means method, then the linear regression model is trained using these data, and the conversion coefficient is plotted. At the end, the application of this model to photography with an arbitrary electrolyte level that is not related to the training sample is given.

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MachineLearningSeminars

Семинары А.В. Грабового к лекционному курсу К.В. Воронцова.

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nlp_course

YSDA course in Natural Language Processing

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python-developer-test-task

Python developer test task

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Requests

Requests python

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sales-forecast-data-exploration

Data preparation for forecasting task. Project for Jovian cource "Data Analysis with Python: Zero to Pandas". Course Project Final Submission.

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Ski_forecast

Weekend weather forecast analysis to recommend ski lessons

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telegram-proxy

Quick Proxy Install Script (Socks / Telegram)

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webvectors

Web-ify your word2vec: framework to serve distributional semantic models online

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yolov4_face_detector

Yolov4 Face Detection training with WiderFace dataset

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