SergeyPetrakov

Economics_Projects

Here you can observe some projects that I have made during my undergraduate studies at the Faculty of Economics of Lomonosov Moscow State University

Tensor_applications_to_RecSys

Here you can find project materials on term of tensor applications to recomendation systems. Mainly it is related to tensor decompositions, such as Tucker and CPD.

Uncertainty-Estimation-Transformers-in-Regression

Skoltech StatML laboratory project: Uncertainty Estimtimation for Trensformer models in regression task

annotated_wd_data_test_answerable_answer_counts

CSC2515_Project-Fama-French-Factors-Prediction

CV

My CV

Deep-Learning-in-Asset-Pricing

https://arxiv.org/abs/1805.01104

Deep-Portfolio-Theory

Autoencoder framework for portfolio selection (paper published by J. B. Heaton, N. G. Polson, J. H. Witte.)

deep_learning_2018-19

Официальный репозиторий курса Deep Learning (2018-2019) от Deep Learning School при ФПМИ МФТИ

Diploma

Here is my diploma

fairseq

Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

FamaFrench

Implementation of 5-factor Fama French Model

fse

this is my first Skoltech course repository

GENRE

Autoregressive Entity Retrieval

Hackathons

I am glad to share information about participation in hackathons, their materials and the results achieved

hyperopt

Distributed Asynchronous Hyperparameter Optimization in Python

kdnet.pytorch

implementation "Escape from Cells: Deep Kd-Networks for The Recognition of 3D Point Cloud Models" in pytorch

KILT

Library for Knowledge Intensive Language Tasks

lm-polygraph

Master_thesis

This repository contains part of my Master thesis "Uncertainty Enhances Knowledge Base Question Answering" at Skoltech that covers single based and MC-Dropout based metrics (ensemble consider output sequence as a possible class).

mewsli9

mGENRE_MEL

This repository contains files and materials related to multilingual entity linking task (MEL), especially basing on the mGENRE model since it is SOTA model. We consider MEL as a part of big knowledge base question answering (KBQA) that is called information retrieval part. Within this part we retrieve entities. Basing on them we can make queries to knowledge base. Thus, we obtain KBQA system

MIT-Global-Startup-Lab

mlcourse.ai

Open Machine Learning Course

new_att

new_rep

nla2021

The repository for Skolech NLA2021

sber_hack

Selective_Predictions_for_KBQA_and_El

This repository contains information about Selective prediction experiments of my master thesis for end-to-end KBQA model based on T5 and multilingual Entity Linking model based on mGENRE

Text_Classification

Text Classification Algorithms: A Survey