🪄 Markdown To Telegram MarkdownV2 Converter Python| No more worrying about formatting.

Scrape twitter accounts for fine tuning

A Gradio web UI for Large Language Models with support for multiple inference backends.

Starter pack for an awesome Udemy course

A project bringing ethics back to AI

A collection of example modules for the Coco Programming Language

Solutions to Active Portfolio Management (Second Edition) by Grinold and Kahn

Simple Near Widget built with React, NEAR Social Bridge and NEAR Social Local Viewer

A book about Rust Data Structures and Algorithms.

Learn quantitative finance with this comprehensive lecture series. Adapted from the Quantopian Lecture Series. Uses free sample data.

Courses, Articles and many more which can help beginners or professionals.

Hands-On Machine Learning for Algorithmic Trading, published by Packt

Jupyter Notebooks and code for the book Python for Algorithmic Trading (O'Reilly) by Yves Hilpisch.

Jupyter Notebooks and code for the book Artificial Intelligence in Finance (O'Reilly) by Yves Hilpisch.

Python for Finance Cookbook, published by Packt

Here you will find materials for the course of Computational Finance

Top training materials in quantitative finance

A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)

Repository containing notebooks of my posts on Medium

Python library to download market data via Bloomberg, Eikon, Quandl, Yahoo etc.

Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.

Elegant Scraper and Crawler Framework for Golang

Code repository for the AAAI 2022 paper "Do Feature Attribution Methods Correctly Attribute Features?"

Code for the paper: Towards Better Understanding Attribution Methods. CVPR 2022.

Evaluating Data Attribution for Text-to-Image Models: a visual data attribution benchmark for evaluating and learning training image influences.

Change your slack profile picture to random cat picture on the daily

Excel to json so easily, read from local source or remote source