stanislavivanov55

stanislavivanov55's Stars

• facebookresearch/Kats

  Kats, a kit to analyze time series data, a lightweight, easy-to-use, generalizable, and extendable framework to perform time series analysis, from understanding the key statistics and characteristics, detecting change points and anomalies, to forecasting future trends.

  Language:Python4.9k536

• sydney-machine-learning/GANclassimbalanced

  GANs for class imbalanced problems

  Language:Scilab266

• hukenovs/hh_research

  Автоматизация поиска и исследования вакансий с сайта hh.ru (Headhunter) с помощью методов Python. Классификация данных, поиск статистических параметров.

  Language:Jupyter Notebook8426

• ashishpatel26/500-AI-Machine-learning-Deep-learning-Computer-vision-NLP-Projects-with-code

  500 AI Machine learning Deep learning Computer vision NLP Projects with code

  19.8k5.1k

• matterport/Mask_RCNN

  Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

  Language:Python24.6k11.7k

• NVIDIA/FastPhotoStyle

  Style transfer, deep learning, feature transform

  Language:Python11.1k1.2k

• vodolazkayamv/IK_demo

  Language:JavaScript1

• lukashov2002/wild_hack

  Language:Python1

• KennelTeam/WildHack

  Language:Python31

• alvassin/alembic-quickstart

  Examples how to test Alembic migrations for Yandex Backend Development school & Moscow Python meetup №69

  Language:Python22032

• DataTalksClub/mlops-zoomcamp

  Free MLOps course from DataTalks.Club

  Language:Jupyter Notebook11k2.1k

• ageron/handson-ml2

  A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

  Language:Jupyter Notebook27.8k12.7k

• vladank99/awesome-github-profile-readme-templates

  This repository contains best profile readme's for your reference.

  1

• chekh/awesome-mlops

  :sunglasses: A curated list of awesome MLOps tools

  73

• AlexanderPetrenko83/Articles

  Language:Jupyter Notebook1817

• yandexdataschool/Practical_RL

  A course in reinforcement learning in the wild

  Language:Jupyter Notebook5.9k1.7k

• fivethirtyeight/data

  Data and code behind the articles and graphics at FiveThirtyEight

  Language:Jupyter Notebook16.8k10.9k

• maks-sh/scikit-uplift

  :exclamation: uplift modeling in scikit-learn style in python :snake:

  Language:Python72596

• alexeygrigorev/data-science-interviews

  Data science interview questions and answers

  Language:HTML8.8k2k

• integralfx/MemTestHelper

  C# WPF to automate HCI MemTest

  2.2k213

• SergeyShk/DataScience-Roadmap

  My roadmap to study Data Science

  31662

• FUlyankin/matstat_lec

  Лекции по матстату на русском

  Language:TeX358

• FUlyankin/matstat-AB

  Курс по матстату для онлайна :)

  Language:Jupyter Notebook336113

• MelLain/mipt-python

  Python lectures and tasks for MIPT and MSU students (in russian)

  Language:Jupyter Notebook12366

• andriygav/MachineLearningSeminars

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

  Language:Jupyter Notebook302130

• demidovakatya/vkapi-course

  Курс по Python по работе с VK API

  Language:Jupyter Notebook43

• a-milenkin/testovoe

  Home assignments for data science positions

  469

• Dyakonov/MLDM

  потоковый курс "Машинное обучение и анализ данных (Machine Learning and Data Mining)" на факультете ВМК МГУ имени М.В. Ломоносова

  6418

• Dyakonov/PZAD

  Курс "Прикладные задачи анализа данных" (ВМК, МГУ имени М.В. Ломоносова)

  29349

• Dyakonov/DL

  Курс "Глубокое обучение (Deep Learning)" (ВМК, МГУ имени М.В. Ломоносова)

  45263