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---data_analyst

Проекты курса Аналитик данных (Яндекс.Практикум)

-dyakonov_dl

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

a-pytorch-tutorial-to-object-detection

SSD: Single Shot MultiBox Detector | a PyTorch Tutorial to Object Detection

andan_hse_2023

Do you have some data?

annotated_deep_learning_paper_implementations

🧑‍🏫 60 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

basic_stat_karpov

Конспект лекций по курсу "Основы статистики"

competitive_data_science

Материалы по курсу анализу данных

cv_lectures

Computer Vision & Deep Learning course materials

datalearn---data-science

Free Data Science course 4everyone

datalearn---sql-for-beginners

deep_vision_and_graphics

Course about deep learning for computer vision and graphics co-developed by YSDA and Skoltech.

deployml_course

Репозиторий для открытого курса «Промышленная эксплуатация моделей машинного обучения»

dlcourse_ai

Материалы курса Deep Learning на пальцах

dll

dls23

DeepLearningSchool Course Autumn2023

ds-course

dyakonov_ml

курс "Методы машинного обучения" для 3го потока 3го курса ВМК МГУ

eda_bootcamp

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.

iad-applied-ds

implicit_recsys

Fast Python Collaborative Filtering for Implicit Feedback Datasets

lightautoml

Fast and customizable framework for automatic ML model creation (AutoML)

lightfm_recsys

A Python implementation of LightFM, a hybrid recommendation algorithm.

lpic_1-101

Studying Linux by LPI-1 exam 101 matherials

lpic_1-102

Изучение линукс по программе LPI-1 exam 102

machine-learning

machine_learning_tutorial

machine learning tutorials

makeesy-deep-learning

Repository to keep code related Deep Learning tutorials.

markdown_readme

Markdown - you can mark up titles, lists, tables, etc., in a much cleaner, readable and accurate way if you do it with HTML.

mip18

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