Pinned Repositories
EconomicIntelligence
The project focused on the use of public data to assess the economic situation in the country based on the state of the stock market and national means of payment, in particular - of the national currency. As sources are used: Open data Ministry of Finance of the Russian Federation These Moscow Exchange Google Finance Data Technologies used: Backend: Databases (relational) - Microsoft SQL Server 2014 Databases (multivariate) models DataMining, OLAP-cube - Microsoft Analysis Services 12.0 Веб-сервер - Windows Server 2012 / Internet Information Services Самописный ASP.NET HTTP Restful интерфейс для взаимодействия с Frontend ETL (загрузка и пре-процессинг данных, управление обновлением данных) SQL Server Integration Services 2014 (разработка в Visual Studio 2013, SSDT) Frontend: AngularJS ChartJS Twitter Bootstrap These were chosen so that the detail (granularity) in the set is not less than 1 day. The result has been created and filled with data analytic repository (Kimball model, topology - star), which was used to build a multi-dimensional databases and OLAP-based cubes on it, as well as models of analysis of data on two main algorithms: Microsoft Time Series, Microsoft Neural Network . To ensure interoperability frontend and backend server for backend-server was set up HTTP-Restful interface JSON-issuing documents in the form of finished sets. The project includes two main areas: Intelligent visualization of open data Analysis of open data and the construction of forecasts based on them Intelligent visualization involves the use of MDX-queries to the OLAP-cube, followed by depression (drilldown) in the data, the system allows the user to quickly find the "weak points" of the economy, as part of the data collected. To predict the time a standard mix of algorithms ARTXP / ARIMA, without the use of queries involving cross-prediction (but it is possible to enroll in the system correct data). These algorithms have been tested primarily on foreign exchange rates (US dollar) and the assets of banks included in the special list of Ministry of Finance. In addition, for assets shows the different customization options algorithms - a long-term, short-term and medium-term (balanced) plan. Assessing the impact of oil prices and foreign currency exchange rate for the total market capitalization was conducted on a sample of the data collected: companies with a total market capitalization of 100 to 500 million rubles, present in the market during 2013-2015 Analytical server builds the neural network receiving the input exchange rates, companies, the weighted average share price, total capitalization of the company and the price of oil to requests received models give the opportunity to evaluate the growth rate of \ fall (if at all) the company's capitalization at historical exchange rates and / or the cost of oil. Built a system can expand to include new indicators, which will significantly increase the accuracy of forecasting.
generative-ai-for-beginners
18 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/
GenossGPT
One API for all LLMs either Private or Public (Anthropic, Llama V2, GPT 3.5/4, Vertex, GPT4ALL, HuggingFace ...) 🌈🐂 Replace OpenAI GPT with any LLMs in your app with one line.
google-interview-university
A complete daily plan for studying to become a Google software engineer.
install-nvidia-drivers
There are some script, which help you to install Nvidia drivers on Ubuntu Server 18.04.4 LTS.
JavaScriptCourse
milewski-ctfp-pdf
Bartosz Milewski's 'Category Theory for Programmers' unofficial PDF and LaTeX source
MoneyPrinter
Automate Creation of YouTube Shorts using MoviePy.
notesnook
A fully open source & end-to-end encrypted note taking alternative to Evernote.
oryx-docker
Ilyushin's Repositories
Ilyushin/google-interview-university
A complete daily plan for studying to become a Google software engineer.
Ilyushin/install-nvidia-drivers
There are some script, which help you to install Nvidia drivers on Ubuntu Server 18.04.4 LTS.
Ilyushin/rec-tool
Tool for simplifying to perform experiments with collaborative filtering models
Ilyushin/AudioUniversalPerturbations
Ilyushin/bootstrap-react-table
Ilyushin/c-style
My favorite C programming practices.
Ilyushin/classification_models
Classification models trained on ImageNet. Keras.
Ilyushin/datascience-docker-container
Ilyushin/datascience-docker-container-nvidia
Docker image for IBM supercomputers which contains GPUs.
Ilyushin/deep-speaker
Deep Speaker: an End-to-End Neural Speaker Embedding System https://arxiv.org/pdf/1705.02304.pdf
Ilyushin/defensegan
Defense-GAN: Protecting Classifiers Against Adversarial Attacks Using Generative Models (published in ICLR2018)
Ilyushin/dlaicourse
Notebooks for learning deep learning
Ilyushin/early-stopping-pytorch
Early stopping for PyTorch
Ilyushin/eBooks-PDFs-necessary-for-data-analysis-by-Python-R-
Repository for all eBooks/PDFs for data science in Python/R
Ilyushin/examples
Ilyushin/fuzzingbook
The Book "Generating Software Tests"
Ilyushin/intro-to-dl
Resources for "Introduction to Deep Learning" course.
Ilyushin/js-test-suite
A collection of JavaScript test suites from JavaScript engine & Test262 repositories.
Ilyushin/jupyterhub-container-initial
Ilyushin/jupyterhub-container-pytorch-py3
Ilyushin/jupyterhub-container-tensorflow2-py3
Ilyushin/jupyterhub-container-tritonserver
Ilyushin/Medium-Python-Neural-Network
This code is part of my post on Medium.
Ilyushin/Meta-Nerual-Trojan-Detection
Ilyushin/natural-language-processing
Resources for "Natural Language Processing" Coursera course.
Ilyushin/pcbdl
PCB Design Language: A programming way to design schematics.
Ilyushin/play-with-bigartm
Ilyushin/ScriptForJerry
Ilyushin/signals
For teaching applied signal processing and classification for HCI and ubiquitous computing
Ilyushin/tensorflow-triplet-loss
Implementation of triplet loss in TensorFlow