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/signal-transformation
Widely used signal transformation using TensorFlow API.
Ilyushin/adversarial-robustness-toolbox
Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction, Inference
Ilyushin/AFFiNE
There can be more than Notion and Miro. AFFiNE is a next-gen knowledge base that brings planning, sorting and creating all together. Privacy first, open-source, customizable and ready to use.
Ilyushin/alibi-detect
Algorithms for outlier, adversarial and drift detection
Ilyushin/alpha-beta-CROWN
alpha-beta-CROWN: An Efficient, Scalable and GPU Accelerated Neural Network Verifier (winner of VNN-COMP 2021 and 2022)
Ilyushin/AudioGPT
AudioGPT: Understanding and Generating Speech, Music, Sound, and Talking Head
Ilyushin/Awesome-CV-Foundational-Models
Ilyushin/backdoor-toolbox
A compact toolbox for backdoor attacks and defenses.
Ilyushin/cloudquery
The open source high performance data integration platform built for developers.
Ilyushin/datalens
A modern, scalable analytics system
Ilyushin/datalens-backend
Data processing backend for DataLens
Ilyushin/datalens-ui
User interface for DataLens
Ilyushin/datalens-us
Configuration object storage for DataLens
Ilyushin/deequ
Deequ is a library built on top of Apache Spark for defining "unit tests for data", which measure data quality in large datasets.
Ilyushin/EvalAI
:cloud: :rocket: :bar_chart: :chart_with_upwards_trend: Evaluating state of the art in AI
Ilyushin/evidently
Evaluate and monitor ML models from validation to production. Join our Discord: https://discord.com/invite/xZjKRaNp8b
Ilyushin/ffmpeg-python
Python bindings for FFmpeg - with complex filtering support
Ilyushin/gradio
Build and share delightful machine learning apps, in Python 🌟 Star to support our work!
Ilyushin/great_expectations
Always know what to expect from your data.
Ilyushin/Marabou
Ilyushin/NeMo
NeMo: a toolkit for conversational AI
Ilyushin/nougat
Implementation of Nougat Neural Optical Understanding for Academic Documents
Ilyushin/posthog
🦔 PostHog provides open-source product analytics, session recording, feature flagging and a/b testing that you can self-host.
Ilyushin/pysistant
Ilyushin/scipy-lecture-notes
Tutorial material on the scientific Python ecosystem
Ilyushin/SegFormer
Official PyTorch implementation of SegFormer
Ilyushin/torch-audiomentations
Fast audio data augmentation in PyTorch. Inspired by audiomentations. Useful for deep learning.
Ilyushin/UQ360
Uncertainty Quantification 360 (UQ360) is an extensible open-source toolkit that can help you estimate, communicate and use uncertainty in machine learning model predictions.
Ilyushin/VALL-E-X
An open source implementation of Microsoft's VALL-E X zero-shot TTS model. Demo is available in https://plachtaa.github.io
Ilyushin/weaviate
Weaviate is a cloud-native, modular, real-time vector search engine