Peymankor

seqdec_powell_repo

This repo will provides the python codes for the book "SEQUENTIAL DECISION ANALYTICS AND MODELING" written by Proff. Warren B. Powell in the notebook format.

rlvother_for_AMoption

awesome-quarto

A curated list of Quarto talks, tools, examples & articles! Contributions welcome!

chatgpt-conversation

Have a conversation with ChatGPT using your voice, and have it talk back.

SciencePlots

Matplotlib styles for scientific plotting

Core

Woman, life, freedom

Bash-Oneliner

A collection of handy Bash One-Liners and terminal tricks for data processing and Linux system maintenance.

Awesome-Deep-Hedging

A curated list of resources dedicated to Deep Hedging

Reinforcement_learning_tutorial_with_demo

Reinforcement Learning Tutorial with Demo: DP (Policy and Value Iteration), Monte Carlo, TD Learning (SARSA, QLearning), Function Approximation, Policy Gradient, DQN, Imitation, Meta Learning, Papers, Courses, etc..

Frustration-One-Year-With-R

An extremely long review of R.

reinforcement-learning-implementation

Reinforcement Learning examples implementation and explanation

AmericanOptionPricing

Least Squares Monte Carlo and Simulated Annealing Approach

HEBO

Bayesian optimisation & Reinforcement Learning library developped by Huawei Noah's Ark Lab

ML_Finance_Codes

Machine Learning in Finance: From Theory to Practice Book

stat_rethinking_2022

Statistical Rethinking course winter 2022

XaringanTutorial

A quick tutorial on making slides using xaringan

bayesoptbook.github.io

Companion webpage for the book "Bayesian Optimization" by Roman Garnett

ultimate-volleyball

3D RL Volleyball environment built on Unity ML-Agents

reinforcement-learning

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

python-causality-handbook

Causal Inference for the Brave and True. A light-hearted yet rigorous approach to learning about impact estimation and causality.

pysamppackage

A sample package for Python to learn how to structure a package.

POMDPs.jl

MDPs and POMDPs in Julia - An interface for defining, solving, and simulating fully and partially observable Markov decision processes on discrete and continuous spaces.

Bayesian-Optimization

Bayesian Optimization algorithms with various recent improvements

TuRBO

spinningup

An educational resource to help anyone learn deep reinforcement learning.

or-tools

Google's Operations Research tools:

tokyo2020

2020 Summer Olympics medals per million people

Volve2OPM

Running the Volve Eclipse Reservoir Simulation files in OPM flow

Reinforcement-Learning-2nd-Edition-by-Sutton-Exercise-Solutions

Solutions of Reinforcement Learning, An Introduction

setup.py

📦 A Human's Ultimate Guide to setup.py.