asisakov's Stars
KochyanLV/MLModels
Classic ML and DL models from scratch
smirnovevgeny/AlfaBattle2.0
fartuk/ml_investment
Investment tools
DBusAI/PyTorchChallenge
10 tasks with 3 exercises each based on PyTorch
catalyst-team/dl-course
Deep Learning with Catalyst
NameArtem/deployml_course
Репозиторий для открытого курса «Промышленная эксплуатация моделей машинного обучения»
khanhnamle1994/cracking-the-data-science-interview
A Collection of Cheatsheets, Books, Questions, and Portfolio For DS/ML Interview Prep
alirezadir/Machine-Learning-Interviews
This repo is meant to serve as a guide for Machine Learning/AI technical interviews.
nyanp/nyaggle
Code for Kaggle and Offline Competitions
solovyshka/sber_risk_DL
EthicalML/awesome-production-machine-learning
A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning
TheAlgorithms/Python
All Algorithms implemented in Python
fastai/fastbook
The fastai book, published as Jupyter Notebooks
rakhimovv/GenerativeLatentFlow
The PyTorch implementation of the GLF
eriklindernoren/Keras-GAN
Keras implementations of Generative Adversarial Networks.
yfeng95/GAN
Resources and Implementations of Generative Adversarial Nets: GAN, DCGAN, WGAN, CGAN, InfoGAN
stdereka/liverpool-ion-switching
Liverpool Ion Switching kaggle competition 2nd place winning solution
geangohn/recsys-tutorial
Tutorials and examples of various recommender systems in industrial applications
slgero/testovoe
Home assignments for data science positions
Dyakonov/PZAD
Курс "Прикладные задачи анализа данных" (ВМК, МГУ имени М.В. Ломоносова)
Dyakonov/DL
Курс "Глубокое обучение (Deep Learning)" (ВМК, МГУ имени М.В. Ломоносова)
achillesrasquinha/bulbea
:boar: :bear: Deep Learning based Python Library for Stock Market Prediction and Modelling