BykovIlya

OPM_2

Black–Scholes Option Pricing Model with changeable current price of the underlying asset. Sobolev numbers are introduced as starting data for searching for optimization coefficients

alpaca_tech_screener

Basics_of_storage_technology

Проект по основам технологий хранения данных. 6 семестр

colabFilteri386

collab-filter

computer_graphics

Data-Analysis

Data Science Using Python

Delving-deep-into-GANs

Generative Adversarial Networks (GANs) resources sorted by citations

GAN-for-tabular-data

We well know GANs for success in the realistic image generation. However, they can be applied in tabular data generation. We will review and examine some recent papers about tabular GANs in action.

GANs_for_Credit_Card_Data

gitignore

A collection of useful .gitignore templates

golang-gin

Build a Golang app with the Gin framework, and authenticate with Auth0 + JWT

instacart

Keras-GAN

Keras implementations of Generative Adversarial Networks.

Multivariate-Time-Series-Imputation-with-Generative-Adversarial-Networks

NIPS2018 paper

nosql2h19-clothes

onlineRPCA

Online Robust Principal Component Analysis

OPM

Black–Scholes Option Pricing Model

pms-ilya

quandl_fund_xlsx

A CLI command which uses the quandl API to extract corporate financial ratios and writes the result to an excel file.

SeqGAN

Implementation of Sequence Generative Adversarial Nets with Policy Gradient

spaAngular

spa angular

tableGAN

TeaFiles.Net-time-series-storage-in-flat-files

.Net API for the TeaFile File Format. TeaFiles is Time Series Persistence in Flat Files.

TGAN

Bykov Ilia, 6383, diploma

timus

web_api

c# web_api Asp.Net, ADO.Net, MS SQL,

web_course_exchange_1

web lab#5

web_course_exchange_2

web lab#6

webpack

A full-featured Webpack + vue-loader setup with hot reload, linting, testing & css extraction.