🇷🇺 Made in Russia
Discover Russia's Leading Open Source Projects: Explore top-notch open source initiatives hailing from the vibrant tech community of Russia.
TOP Jupyter Notebook Projects
yandexdataschool/nlp_course
YSDA course in Natural Language Processing
yandexdataschool/Practical_RL
A course in reinforcement learning in the wild
esokolov/ml-course-hse
Машинное обучение на ФКН ВШЭ
tg-bomze/Face-Depixelizer
Face Depixelizer based on "PULSE: Self-Supervised Photo Upsampling via Latent Space Exploration of Generative Models" repository.
yandexdataschool/Practical_DL
DL course co-developed by YSDA, HSE and Skoltech
bonlime/keras-deeplab-v3-plus
Keras implementation of Deeplab v3+ with pretrained weights
GnuriaN/Python-Roadmap
Дорожная карта по изучению Python
bayesgroup/deepbayes-2018
Seminars DeepBayes Summer School 2018
hukenovs/dsp-theory
Theory of digital signal processing (DSP): signals, filtration (IIR, FIR, CIC, MAF), transforms (FFT, DFT, Hilbert, Z-transform) etc.
esokolov/ml-course-msu
Lecture notes and code for Machine Learning practical course on CMC MSU
bayesgroup/deepbayes-2019
Practical assignments of the Deep|Bayes summer school 2019
geffy/tffm
TensorFlow implementation of an arbitrary order Factorization Machine
yandex/rep
Machine Learning toolbox for Humans
tg-bomze/Face-Image-Motion-Model
Face Image Motion Model (Photo-2-Video) based on "first-order-model" repository.
evgps/a3c_trading
Trading with recurrent actor-critic reinforcement learning
DeepSystems/supervisely-tutorials
🌈 Tutorials for Supervise.ly
tg-bomze/BabyGAN
StyleGAN-based predictor of children's faces from photos of theoretical parents.
demidovakatya/mashinnoye-obucheniye
📚 Специализация «Машинное обучение и анализ данных»
bayesgroup/variational-dropout-sparsifies-dnn
Sparse Variational Dropout, ICML 2017
sozykin/dlpython_course
Примеры для курса "Программирование глубоких нейронных сетей на Python"
tg-bomze/StyleGAN2-Face-Modificator
Simple Encoder, Generator and Face Modificator with StyleGAN2
yandexdataschool/deep_vision_and_graphics
Course about deep learning for computer vision and graphics co-developed by YSDA and Skoltech.
natasha/corus
Links to Russian corpora + Python functions for loading and parsing
alexanderskulikov/discrete-math-python-scripts
Python code snippets from Discrete Mathematics for Computer Science specialization at Coursera
andriygav/MachineLearningSeminars
Семинары А.В. Грабового к лекционному курсу К.В. Воронцова.
buriy/spacy-ru
Russian language models for spaCy
RuslanAgishev/motion_planning
Robot path planning, mapping and exploration algorithms
BShakhovsky/PolyphonicPianoTranscription
Recurrent Neural Network for generating piano MIDI-files from audio (MP3, WAV, etc.)
whitehorn/Scientific_graphics_in_python
Электронный учебник-пособие по научной графике в python
tyz910/hse-shad-ml
🎓 Введение в машинное обучение. Курс от ВШЭ и ШАД на coursera.org
a-milenkin/Competitive_Data_Science
Материалы по курсу анализу данных
Dyakonov/ml_hacks
Приёмы в машинном обучении
vlarine/transformers-ru
A list of pretrained Transformer models for the Russian language.
IsFilimonov/LearningPath
Learning repository
hukenovs/coursera_ml_da_specialization
Coursera Specialization: Machine Learning and Data Analysis (Yandex & MIPT)
AndrewAtanov/simclr-pytorch
PyTorch implementation of SimCLR: supports multi-GPU training and closely reproduces results
yandexdataschool/speech_course
YSDA course in Speech Processing.
rambler-digital-solutions/criteo-1tb-benchmark
Benchmark of different ML algorithms on Criteo 1TB dataset
PositiveTechnologies/seq2seq-web-attack-detection
The implementation of the Seq2Seq model for web attack detection. The Seq2Seq model is usually used in Neural Machine Translation. The main goal of this project is to demonstrate the relevance of the NLP approach for web security.
GlebSBrykin/SANET
Arbitrary Style Transfer with Style-Attentional Networks
true-grue/kispython
Курс программирования на языке Python в РТУ МИРЭА
natasha/ipymarkup
NER, syntax markup visualizations
mipt-cs/course-site-python3
Сайт курса
tkhirianov/pydatan
Python Data Analysis course materials of Timofey Khirianov (MIPT, Phystech School of Fundamental and Applied Physics).
kiselev1189/insightface-just-works
Insightface face detection and recognition model that just works out of the box.
yandexdataschool/YSDA_deeplearning17
Yandex SDA classes on deep learning. Version of year 2017
Shmuma/rethinking-2ed-julia
Port of Statistical Rethinking (2nd edition) code to Julia
MelLain/mipt-python
Python lectures and tasks for MIPT and MSU students (in russian)
minhdai2410/machine-learning-data-analysis-yandex-mipt-coursera
Полная специализация "Машинное обучение и анализ данных" от МФТИ и Яндекс на Coursera
DBusAI/PyTorchChallenge
10 tasks with 3 exercises each based on PyTorch
tg-bomze/collection-of-notebooks
Сollection of various notebooks
subpath/Keras_music_gereration
Music generation with Keras and LSTM
isadrtdinov/intro-to-dl-hse
Введение в глубинное обучение на ФКН ВШЭ
spbu-math-cs/ml-course
lukovkin/ufcnn-keras
Implementation of UFCNN in Keras
NameArtem/deployml_course
Репозиторий для открытого курса «Промышленная эксплуатация моделей машинного обучения»
anamarina/RecSys_course
Course on recommender systems conducted at the Faculty of Computer Science, National Research University - Higher School of Economics. Academic year 2022-2023.
Nikolay-Lysenko/readingbricks
A structured collection of notes (mostly, on machine learning) and a Flask app for reading and searching them.
BeloborodovDS/MobilenetSSDFace
Caffe implementation of Mobilenet-SSD face detector (NCS compatible)
tg-bomze/Style-Transfer-Collection
Colabs Collection of style transfer in photo and video
sberbank-ai/ru-clip
CLIP implementation for Russian language
oseledets/nla2020
Github repository for NLA2020 course
pheepa/DCUnet
Phase-aware speech enchancement with Deep Complex U-Net
yandexdataschool/MLatImperial2017
Materials for the course of machine learning at Imperial College organized by Yandex SDA
nasoboleva/EEG-Emotion-Recognition
EEG data processing and it's convolution using AutoEncoder + CNN + RNN
dbaranchuk/memory-efficient-maml
Memory efficient MAML using gradient checkpointing
bayesgroup/bayesgroup.github.io
Dyakonov/python_hacks
Приёмы при написании python-программ
gaphex/bert_experimental
code and supplementary materials for a series of Medium articles about the BERT model
NikolasEnt/Road-Semantic-Segmentation
Udacity Self-Driving Car Engineer Nanodegree. Project: Road Semantic Segmentation
7bits/ml-courses-7bits
yandexdataschool/mlhep2016
Machine Learning in High Energy Physics 2016
kepatopoc/vkapi-course
Курс по Python по работе с VK API
esokolov/ml-minor-hse
Shmuma/rl
RL experiments
NikolasEnt/Lyft-Perception-Challenge
The 4th place and the fastest solution of the Lyft Perception Challenge (Image semantic segmentation with PyTorch)
sismetanin/word2vec-tsne
Google News and Leo Tolstoy: Visualizing Word2Vec Word Embeddings using t-SNE.
hukenovs/hh_research
Автоматизация поиска и исследования вакансий с сайта hh.ru (Headhunter) с помощью методов Python. Классификация данных, поиск статистических параметров.
mlss-skoltech/tutorials
repository with the tutorials for MLSS Skoltech
bayesgroup/deepbayes2017
ivi-ru/video-scene-detection
Video Scene Detection Based on the Optimal Sequential Grouping algorithm
tg-bomze/ENTAR
Ensemble of Neural Tools for Animations Restoration
Arkady-A/Exploring-Machine-Learning
Machine learning algorithms implementation in python with references, and with sketchy explanations.
NikolasEnt/Vehicle-Detection-and-Tracking
Udacity Self-Driving Car Engineer Nanodegree. Project: Vehicle Detection and Tracking
Lasttrader/awesome_data_science_2021
notebooks examples from my data science course
MobileRoboticsSkoltech/Perception-in-Robotics-course-T3-2021-Skoltech
Percepion in Robotics, T3 course 2020-2021 from the Data Science Program at Skoltech
ale3otik/paraphrases-generator
Paraphrases generator based on RAVE.
ml-mipt/ml-mipt-part1
Old materials of ML course at MIPT 20..-2018
smirnovevgeny/AlfaBattle2.0
VLSF/SNO
Spectral Neural Operator
mlss-skoltech/tutorials_week2
tutorials for MLSS 2019 Skoltech
artemsteshenko/parser_maps
Parsing Yandex Maps with selenium and analysis organization site types
sismetanin/sentiment-analysis-of-tweets-in-russian
Sentiment analysis of tweets in Russian using Convolutional Neural Networks (CNN) with Word2Vec embeddings.
sovse/Rus-SpeechRecognition-LSTM-CTC-VoxForge
Распознавание речи русского языка используя Tensorflow, обучаясь на базе Voxforge
NikolasEnt/Advanced-Lane-Lines
Udacity Self-Driving Car Engineer Nanodegree. Project: Advanced Lane Finding
RuslanAgishev/adaptive_swarm
Multiple robots layered path planning algorithm implemented as a ROS node to control a swarm of nano quadrotors, Crazyflies 2.X, with real-time obstacle avoidance.
kiselev1189/EEGClassificationMCNN
Solution for EEG Classification via Multiscale Convolutional Net coded for NeuroHack at Yandex.
yandexdataschool/sklearn-deeprl
Deep reinforcement learning. In scikit-learn. In less than 50 effective lines.
oseledets/nla2018
NLA 2018 Skoltech course
tinkoff-ai/ReBRAC
Author's implementation of ReBRAC, a minimalist improvement upon TD3+BC