sergeypetrakov Goto Github PK

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

deeplearninginfinance

diploma

Here is my diploma

dl_forfinance

This git repository is based on the work of J.Heaton, N.Polson and J.Witte and their articleDeep Learning for Finance: Deep Portfolios. This paper let us explore the use of deeplearning models for problems in financial prediction and classification. Our goal isto show how applying deep learning methods to these problems can produce betteroutcomes than standard methods in finance or in Machine Learning

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

fairseq

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

famafrench

Implementation of 5-factor Fama French Model

finance-vix

CBOE Volatility Index (VIX) time-series dataset including daily open, close, high and low.

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

mixture-density-networks-for-distribution-and-uncertainty-estimation

A generic Mixture Density Networks (MDN) implementation for distribution and uncertainty estimation by using Keras (TensorFlow)

ml-course-msu

Lecture notes and code for Machine Learning practical course on CMC MSU

mlcourse.ai

Open Machine Learning Course

multi-factor-model

Build a statistical risk model using PCA. Optimize the portfolio using the risk model and factors using multiple optimization formulations.

new_att

new_rep