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500-ai-machine-learning-deep-learning-computer-vision-nlp-projects-with-code

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

data-science-from-scratch

code for Data Science From Scratch book

data-science-interview-questions-and-answers

Data science interview questions with answers. Not ideally (yet)

deep-learning-projects

Deep Learning projects at HSE class

efficient-dl-systems

Efficient Deep Learning Systems course materials (HSE, YSDA)

efficient_python_tricks_and_tools_for_data_scientists

Efficient Python Tricks and Tools for Data Scientists

examples

Example deep learning projects that use wandb's features.

gan-projects

gnn-course-2021

Materials of the Graph Neural Networks course taught in Winter Semester 2021 at the Hasso-Plattner Institute University of Potsdam

gnn-lspe

Source code for GNN-LSPE (Graph Neural Networks with Learnable Structural and Positional Representations), ICLR 2022

gnn_course_hse

Курс по глубинному обучению для графовых данных преподаваемый на ФКН ВШЭ

handson-ml3

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.

hse_mlds_deep_learning_course

iad-applied-ds

iad-deep-learning

Курс "Современные методы машинного обучения" на майноре ИАД

iad-intro-ds

illustrated-machine-learning.github.io

Website containing illustrations about Machine Learning theory!

k-gnn

Source code for our AAAI paper "Weisfeiler and Leman Go Neural: Higher-order Graph Neural Networks".

llm4rec-awesome-papers

A list of awesome papers and resources of recommender system on large language model (LLM).

lsml_hse_lectures

machine-learning-interview

Machine Learning Interviews from FAANG, Snapchat, LinkedIn. I have offers from Snapchat, Coupang, Stitchfix etc. Blog: mlengineer.io.

machine-learning-interview-enlightener

This repo is meant to serve as a guide for Machine Learning/AI technical interviews.

ml-course-hse

Машинное обучение на ФКН ВШЭ

ml-from-scratch

Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.

ml-hse-nes

Курс "Машинное обучение" на совместной программе НИУ ВШЭ и РЭШ

ml-study-projects

My study projects

ml_econom_2021-2022

Материалы курса "Машинное обучение" на экономическом факультете ВШЭ в 2021/2022 учебном году.

nlp-dla-projects

nnmethods_ba_hse21-22

Репозиторий с материалами для курса "Нейросетевые методы обработки текстов"

practical_dl

DL course co-developed by YSDA, HSE and Skoltech