HendrikMS

HendrikMS's Stars

• DataTalksClub/llm-zoomcamp

  LLM Zoomcamp - a free online course about building a Q&A system

  Language:Jupyter Notebook2.4k306

• firmai/financial-machine-learning

  A curated list of practical financial machine learning tools and applications.

  Language:Python6.4k1.2k

• letianzj/QuantResearch

  Quantitative analysis, strategies and backtests

  Language:Jupyter Notebook1.8k388

• jmerle/imc-prosperity-2

  My IMC Prosperity 2 code (9th place)

  Language:Jupyter Notebook304

• quantopian/research_public

  Quantitative research and educational materials

  Language:Jupyter Notebook2.4k1.6k

• stefan-jansen/zipline-reloaded

  Zipline, a Pythonic Algorithmic Trading Library

  Language:Python1k197

• alexeygrigorev/llm-rag-workshop

  Chat with your own data - LLM+RAG workshop

  Language:Jupyter Notebook15047

• PacktPublishing/Polars-Cookbook

  B21621 - Polars Cookbook

  Language:Jupyter Notebook13117

• rust-lang/rust

  Empowering everyone to build reliable and efficient software.

  Language:Rust94.7k12.2k

• astral-sh/uv

  An extremely fast Python package installer and resolver, written in Rust.

  Language:Rust14.6k411

• intro-stat-learning/ISLP_labs

  Up-to-date version of labs for ISLP

  Language:Jupyter Notebook556341

• warpdotdev/Warp

  Warp is a modern, Rust-based terminal with AI built in so you and your team can build great software, faster.

  20.2k335

• DominiquePaul/GrannyMail

  A WhatsApp/Telegram bot that turn voice memos into physical letters that you can send from the chat

  Language:Python7

• mikinty/Trading-Interview-Questions

  Guide on how to prepare for quant trading roles out of college

  Language:JavaScript50664

• dingran/quant-notes

  Quantitative Interview Preparation Guide, updated version here ==>

  Language:Jupyter Notebook700132

• abstractqqq/polars_ds_extension

  Polars extension for general data science use cases

  Language:Rust26518

• outerbounds/dsbook

  Code samples for the Effective Data Science Infrastructure book

  Language:Python10126

• MarcoGorelli/polars-plugins-tutorial

  How you (yes, you!) can write a Polars Plugin

  Language:Python788

• sameerlal/OMakeMeAMarket

  OCaml Market Making Game (SEE PYTHON VERSION)

  Language:OCaml3813

• langfuse/langfuse

  🪢 Open source LLM engineering platform: Observability, metrics, evals, prompt management, playground, datasets. Integrates with LlamaIndex, Langchain, OpenAI SDK, LiteLLM, and more. 🍊YC W23

  Language:TypeScript4.6k417

• braaannigan/data-analysis-with-polars

  Public notebooks and datasets to accompany the Data Analysis with Polars course on Udemy

  Language:Jupyter Notebook377

• dwcoder/QuantitativePrimer

  An Interview Primer for Quantitative Finance

  Language:TeX1.1k148

• jalapic/engsoccerdata

  English and European soccer results 1871-2022

  Language:R752191

• stefan-jansen/machine-learning-for-trading

  Code for Machine Learning for Algorithmic Trading, 2nd edition.

  Language:Jupyter Notebook12.2k4k

• pola-rs/polars

  Dataframes powered by a multithreaded, vectorized query engine, written in Rust

  Language:Rust27.7k1.7k

• alexeygrigorev/data-science-interviews

  Data science interview questions and answers

  Language:HTML8.4k1.9k

• zslucky/algorithmic_trading_book

  2 books and related source codes for algorithmic trading.

  Language:Python361159

• mhallsmoore/qstrader

  QuantStart.com - QSTrader backtesting simulation engine.

  Language:Python2.8k841

• vinta/awesome-python

  An opinionated list of awesome Python frameworks, libraries, software and resources.

  Language:Python212k24.6k

• DataTalksClub/data-engineering-zoomcamp

  Free Data Engineering course!

  Language:Jupyter Notebook23.7k5k