rohithlv,Rohith LV,github

amazon-personalize-samples

Notebooks and examples on how to onboard and use various features of Amazon Personalize

amazon-sagemaker-examples

Example notebooks that show how to apply machine learning and deep learning in Amazon SageMaker

d2l-en

Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.

ffn

ffn - a financial function library for Python

finance-python

python tools for Finance with the functionality of indicator calculation, business day calculation and so on.

financepy

A Python Finance Library that focuses on the pricing and risk-management of Financial Derivatives, including fixed-income, equity, FX and credit derivatives.

financial-engineering

Applications of Monte Carlo methods to financial engineering projects, in Python.

finoptions-dev

Complete python implementation of R package fOptions with partial implementation of fExoticOptions for pricing various options.

finrl

FinRL: Financial Reinforcement Learning. 🔥

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.

multivariate-t-distribution

A Python implementation of multivariate t-distributed random variables.

openbbterminal

Investment Research for Everyone, Anywhere.

optlib

A library for financial options pricing written in Python.

pynance

Lightweight Python library for assembling and analysing financial data

pyprobml

Python code for "Probabilistic Machine learning" book by Kevin Murphy

pythondatasciencehandbook

Python Data Science Handbook: full text in Jupyter Notebooks

q-fin

A Python library for mathematical finance

quant-finance-lectures

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

quantpy

A framework for quantitative finance In python.

quantsbin

Tools for pricing and plotting of vanilla option prices, greeks, and various other analysis around them. .Quantitative Finance tools

spinningup

An educational resource to help anyone learn deep reinforcement learning. OpenAI

tf-quant-finance

High-performance TensorFlow library for quantitative finance.

the-kelly-criterion

🧮 A deeper look into the Kelly Criterion

Python library for calculating option prices, implied volatility, and greeks. Fundamentally a swig/python wrapper around Peter Jaeckel's lets_be_rational. lets_be_rational focuses exclusively on Black76, while Vollib extends this to add support for Black-Scholes and Black-Scholes-Merton.

willowtree

Robust and flexible Python implementation of the willow tree lattice for derivatives pricing.

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