nik19abramov

nik19abramov's Stars

• andrewekhalel/MLQuestions

  Machine Learning and Computer Vision Engineer - Technical Interview Questions

  3k506

• DimaLunin/AB_lifehacks

  All code examples from article ...

  Language:Jupyter Notebook3513

• girafe-ai/ml-course

  Open Machine Learning course

  Language:Jupyter Notebook2.3k1.1k

• QuantumFluxx/karpov_courses

  🐳 Проектная деятельность. Здесь хранятся лекции, практические задания и проекты с karpov_courses. Ссылка: https://karpov.courses/

  Language:Jupyter Notebook14571

• isadrtdinov/intro-to-dl-hse

  Введение в глубинное обучение на ФКН ВШЭ

  Language:Jupyter Notebook12358

• dair-ai/ML-Papers-Explained

  Explanation to key concepts in ML

  7.3k573

• Dyakonov/BOOKs

  Небольшие авторские книги / учебные пособия / инструкции

  21

• markovka17/dla

  Deep learning for audio processing

  Language:Jupyter Notebook586102

• FUlyankin/yet_another_matstat_course

  Yet another matstat course (ru)

  Language:Jupyter Notebook5916

• DataTalksClub/data-engineering-zoomcamp

  Free Data Engineering course!

  Language:Jupyter Notebook25.2k5.4k

• sim0nsays/dlcourse_ai

  Материалы курса Deep Learning на пальцах

  Language:Jupyter Notebook394643

• dimk00z/summer_yandex_algorithmic_course

  #yandex-algorithm-trainings

  Language:Python112

• esokolov/ml-course-hse

  Машинное обучение на ФКН ВШЭ

  Language:Jupyter Notebook3k1.1k

• yandexdataschool/nlp_course

  YSDA course in Natural Language Processing

  Language:Jupyter Notebook9.8k2.6k

• amanchadha/coursera-deep-learning-specialization

  Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization; (iii) Structuring Machine Learning Projects; (iv) Convolutional Neural Networks; (v) Sequence Models

  Language:Jupyter Notebook3.2k2.3k

• FUlyankin/deep_learning_pytorch

  deep learning with pytorch (russian)

  Language:Jupyter Notebook5714

• yandexdataschool/Practical_DL

  DL course co-developed by YSDA, HSE and Skoltech

  Language:Jupyter Notebook1.6k642

• ZolotarevStat/psmo_22_23

  Все материалы по курсу "Прикладная статистика в машинном обучении" на ПМИ ФКН в 2022-2023 учебном году

  Language:Jupyter Notebook22

• devkapupara/LeetCode

  A Markdown file that contains my solutions of LeetCode problems.

  Language:Python4716

• hse-ds/iad-applied-ds

  Language:Jupyter Notebook14275

• hse-ds/iad-deep-learning

  Курс "Основы глубинного обучения" на майноре ИАД

  Language:Jupyter Notebook209115

• f/awesome-chatgpt-prompts

  This repo includes ChatGPT prompt curation to use ChatGPT better.

  Language:HTML113k15.4k

• Dyakonov/DL

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

  46163

• Dyakonov/PZAD

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

  29548

• yandexdataschool/deep_vision_and_graphics

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

  Language:Jupyter Notebook30593

• DLSchool/deep-learning-school

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

  Language:Jupyter Notebook906546

• w-zm/yandexdataschool_nlp_course_solutions

  Solutions for NLP course in YSDA

  Language:Jupyter Notebook142

• hse-aml/hadron-collider-machine-learning

  Materials for "Addressing Large Hadron Collider Challenges by Machine Learning" Coursera MOOC

  Language:Jupyter Notebook94213

• hse-aml/competitive-data-science

  Materials for "How to Win a Data Science Competition: Learn from Top Kagglers" course

  Language:Jupyter Notebook648616

• hse-aml/natural-language-processing

  Resources for "Natural Language Processing" Coursera course.

  Language:Jupyter Notebook1.2k2k