Belousovnm

Belousovnm's Stars

• bones-ai/rust-drive-ai

  Self driving car AI in road fighter world

  Language:Rust11818

• functime-org/functime

  Time-series machine learning at scale. Built with Polars for embarrassingly parallel feature extraction and forecasts on panel data.

  Language:Python1.1k60

• bol-van/zapret

  DPI bypass multi platform

  Language:C9.7k717

• TechieBoy/rust-orderbook

  Limit Order book and matching engine in Rust.

  Language:Rust458

• tldr-pages/tldr

  📚 Collaborative cheatsheets for console commands

  Language:Markdown52.9k4.3k

• habamax/.vim

  Personal .vim

  Language:Vim Script724

• habamax/vim-select

  Vim fuzzy file/buffer/mru selector plugin

  Language:Vim Script381

• munificent/craftinginterpreters

  Repository for the book "Crafting Interpreters"

  Language:HTML9.3k1.1k

• CamDavidsonPilon/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers

  aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

  Language:Jupyter Notebook27.1k7.9k

• arminarj/convex-optimization-boyd

  This is CVXPY implementation of convex optimization additional problems

  Language:Jupyter Notebook61

• PacktPublishing/Practical-Time-Series-Analysis

  Practical Time-Series Analysis, published by Packt

  Language:Jupyter Notebook405252

• ctgk/PRML

  PRML algorithms implemented in Python

  Language:Jupyter Notebook11.5k3.3k

• vladargunov/CreditDerivativesSimulator

  The repo contains a simulator used in backtesting of strategies developed during the CMF course "Trading Credit Derivatives".

  Language:Python63

• esokolov/ml-course-hse

  Машинное обучение на ФКН ВШЭ

  Language:Jupyter Notebook3.1k1.1k

• enjine-com/mcos

  Implementation of Monte Carlo Optimization Selection from the paper "A Robust Estimator of the Efficient Frontier"

  Language:Python5519

• emoen/Machine-Learning-for-Asset-Managers

  Implementation of code snippets, exercises and application to live data from Machine Learning for Asset Managers (Elements in Quantitative Finance) written by Prof. Marcos López de Prado.

  Language:Python498170

• robertmartin8/BinancePremiums

  Dashboard to track crypto spot-futures premiums

  Language:Python5212

• kpuchalskixiv/Impact-of-market-microstructure-on-stock-price

  Language:Jupyter Notebook154