Sergey Nazarenko's starred repositories
awesome-llm-web-ui
A curated list of awesome Large Language Model (LLM) Web User Interfaces.
Local-LLM-Comparison-Colab-UI
Compare the performance of different LLM that can be deployed locally on consumer hardware. Run yourself with Colab WebUI.
Awesome-AIML-Data-Ops
Awesome AI -ML-Data Ops
every-programmer-should-know
A collection of (mostly) technical things every software developer should know
free-programming-books
:books: Freely available programming books
openvpn-install
Set up your own OpenVPN server on Debian, Ubuntu, Fedora, CentOS or Arch Linux.
mtprotoproxy
Async MTProto proxy for Telegram
mtprotoproxy-1
Async mtproto proxy for Telegram
mtproto_proxy
High performance Erlang MTProto proxy that powers https://t.me/socksy_bot
Learn_Machine_Learning_in_3_Months
This is the code for "Learn Machine Learning in 3 Months" by Siraj Raval on Youtube
awesome-bigdata
A curated list of awesome big data frameworks, ressources and other awesomeness.
express_ml
Express course of machine learning
vvedenie-mashinnoe-obuchenie
:memo: Подборка ресурсов по машинному обучению
Python_ds_Research
Python based Quant Finance Models, Tools and Algorithmic Decision Making
A-Deep-Learning-Based-Illegal-Insider-Trading-Detection-and-Prediction-Technique-in-Stock-Market
Illegal insider trading of stocks is based on releasing non-public information (e.g., new product launch, quarterly financial report, acquisition or merger plan) before the information is made public. Detecting illegal insider trading is difficult due to the complex, nonlinear, and non-stationary nature of the stock market. In this work, we present an approach that detects and predicts illegal insider trading proactively from large heterogeneous sources of structured and unstructured data using a deep-learning based approach combined with discrete signal processing on the time series data. In addition, we use a tree-based approach that visualizes events and actions to aid analysts in their understanding of large amounts of unstructured data. Using existing data, we have discovered that our approach has a good success rate in detecting illegal insider trading patterns. My research paper (IEEE Big Data 2018) on this can be found here: https://arxiv.org/pdf/1807.00939.pdf
openvpn-install
OpenVPN road warrior installer for Ubuntu, Debian, AlmaLinux, Rocky Linux, CentOS and Fedora
streisand
Streisand sets up a new server running your choice of WireGuard, OpenConnect, OpenSSH, OpenVPN, Shadowsocks, sslh, Stunnel, or a Tor bridge. It also generates custom instructions for all of these services. At the end of the run you are given an HTML file with instructions that can be shared with friends, family members, and fellow activists.
Azure-70-533-Practice-Test
(RETIRED) Azure 70-533 Certification Practice Test
awesome-etl
A curated list of awesome ETL frameworks, libraries, and software.
generate-sql-merge
Generate SQL MERGE statements with Table data
datacamp_facebook_live_titanic
DataCamp Facebook Live Code Along Session 2: Learn how to complete a Kaggle competition using exploratory data analysis, data munging, data cleaning and machine leaning. Enjoy.