IngiOrn's repositories

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 ;)

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altnnpub

Public code for our paper https://ssrn.com/abstract=3958331

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AQFED.jl

Julia package for the book "Applied Quantitative Finance for Equity Derivatives"

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autograd

Efficiently computes derivatives of numpy code.

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datascience

Curated list of Python resources for data science.

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Deep-Reinforcement-Learning-Hands-On

Hands-on Deep Reinforcement Learning, published by Packt

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deepmind-research

This repository contains implementations and illustrative code to accompany DeepMind publications

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finmath-lib

Mathematical Finance Library: Algorithms and methodologies related to mathematical finance.

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fplanck

Numerically solve the Fokker-Planck equation in N dimensions

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fypy

Vanilla and exotic option pricing library to support quantitative R&D. Focus on pricing interesting/useful models and contracts (including and beyond Black-Scholes), as well as calibration of financial models to market data.

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handson-ml2

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

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Hawkes-1

a python package for simulation and inference of Hawkes processes.

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mesa

Mesa is an agent-based modeling framework in Python

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mml-book.github.io

Companion webpage to the book "Mathematics For Machine Learning"

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notebooks

Implement, demonstrate, reproduce and extend the results of the Risk articles 'Differential Machine Learning' (2020) and 'PCA with a Difference' (2021) by Huge and Savine, and cover implementation details left out from the papers.

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notebooks-1

Notebooks on how to use Distributed Evolutionary Algorithm in Python (DEAP)

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optionvisualizer

Visualize option prices and sensitivities

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POT

POT : Python Optimal Transport

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PROJ_Option_Pricing_Matlab

Quant Option Pricing - Exotic/Vanilla: Barrier, Asian, European, American, Parisian, Lookback, Cliquet, Variance Swap, Swing, Forward Starting, Step, Fader

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pymc

Probabilistic Programming in Python: Bayesian Modeling and Probabilistic Machine Learning with Aesara

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pymc-examples

Examples of PyMC models, including a library of Jupyter notebooks.

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reinforcement-learning-an-introduction

Python Implementation of Reinforcement Learning: An Introduction

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TensorFlow-Tutorials

TensorFlow Tutorials with YouTube Videos

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tensorly

TensorLy: Tensor Learning in Python.

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tf-quant-finance

High-performance TensorFlow library for quantitative finance.

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ThinkComplexity2

Book and code for Think Complexity, 2nd edition

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volatility-trading

A complete set of volatility estimators based on Euan Sinclair's Volatility Trading

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