voskresenskiianton
Data Scientist. Time-series forecasting and geospatial analysis
Saudi AramcoSaudi Arabia
voskresenskiianton's Stars
facebookresearch/balance
The balance python package offers a simple workflow and methods for dealing with biased data samples when looking to infer from them to some target population of interest.
bhulston/Time-Series-Prediction-with-LSTM-and-XGB
Build an algorithm that can predict multiple future states of Limit Order Books using high-frequency, multi-variate, short time-frame data
google-research/tuning_playbook
A playbook for systematically maximizing the performance of deep learning models.
anticensority/runet-censorship-bypass
Web-extension for bypassing censorship in Russia
FUlyankin/neural_nets_prob
Понимаем как работают нейросетки на ручных задачках :)
FUlyankin/yet_another_matstat_course
Yet another matstat course (ru)
christianversloot/machine-learning-articles
🧠💬 Articles I wrote about machine learning, archived from MachineCurve.com.
scikit-garden/scikit-garden
A garden for scikit-learn compatible trees
zillow/quantile-forest
Quantile Regression Forests compatible with scikit-learn.
Gewissta/Data_Preprocessing_in_Python
Программный код к книге "Предварительная подготовка данных в Python"
Evgeny-web/Practice_tech
Parsing text, classification, clastering
Evgeny-web/RosneftChallenge
Участие в соревнованиях по машинному обучению от Роснефть
artyerokhin/digital_moscow_hack
Solution of https://hacks-ai.ru/championships/758465
jakevdp/PythonDataScienceHandbook
Python Data Science Handbook: full text in Jupyter Notebooks
great-expectations/great_expectations
Always know what to expect from your data.
e0xextazy/vkcup2022-first-stage
First Place Solution
skorch-dev/skorch
A scikit-learn compatible neural network library that wraps PyTorch
jasperroebroek/sklearn-quantile
smirnovevgeny/HardML
Задания курса HardML
JoaquinAmatRodrigo/skforecast
Time series forecasting with machine learning models
supsi-dacd-isaac/mbtr
Multivariate Boosted TRee
kyawlin/GNN-finance
Curated list of Graph Neural Network Applications in Business, Finance and Banking
jackieD14/Graph-models-in-finance-application
Paper collection for graph based models in finance application
liweitj47/overnight-stock-movement-prediction
VladOnMyOwn/ctr-poisson-bootstrap
Here I demonstrate the performance difference between the Poisson and the classic bootstrap by estimating the confidence interval for the difference of CTRs of the two user groups
Yyalexx/hackathon_motorica_2022
3 этапа хакатона, совместно проведенного Motorica и Skillfactory (numpy, tensorflow)
aangelopoulos/conformal-prediction
Lightweight, useful implementation of conformal prediction on real data.
Pradnya1208/Time-series-forecasting-using-Deep-Learning
The goal of this notebook is to implement and compare different approaches to predict item-level sales at different store locations.
Evolutionary-Intelligence/pypop
PyPop7: A Pure-Python Library for POPulation-based Black-Box Optimization (BBO), especially their *Large-Scale* versions/variants (evolutionary algorithms/swarm-based optimizers/pattern search/...). [https://pypop.rtfd.io/]
huggingface/transformers
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.