Peymankor

Peymankor's Stars

• dennybritz/reinforcement-learning

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

  Language:Jupyter Notebook21.1k8641556.1k

• google/or-tools

  Google's Operations Research tools:

  Language:C++11.7k3073k2.2k

• onceupon/Bash-Oneliner

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

  10.4k11314627

• garrettj403/SciencePlots

  Matplotlib styles for scientific plotting

  Language:Python7.6k6597732

• navdeep-G/setup.py

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

  Language:Python5.1k9333570

• rmcelreath/stat_rethinking_2022

  Statistical Rethinking course winter 2022

  Language:R4.1k22322442

• matheusfacure/python-causality-handbook

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

  Language:Jupyter Notebook2.9k46278518

• huawei-noah/HEBO

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

  Language:Jupyter Notebook2.6k23157447

• LyWangPX/Reinforcement-Learning-2nd-Edition-by-Sutton-Exercise-Solutions

  Solutions of Reinforcement Learning, An Introduction

  Language:Jupyter Notebook2.2k3785481

• mfrdixon/ML_Finance_Codes

  Machine Learning in Finance: From Theory to Practice Book

  Language:Jupyter Notebook2k648543

• mcanouil/awesome-quarto

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

  1.8k63192123

• WeAreMahsaAmini/Core

  Woman, life, freedom

  1.7k35047

• bayesoptbook/bayesoptbook.github.io

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

  Language:HTML904255446

• omerbsezer/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..

  Language:Jupyter Notebook750250173

• JuliaPOMDP/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.

  Language:Julia69642347104

• platelminto/chatgpt-conversation

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

  Language:Python664191071

• ReeceGoding/Frustration-One-Year-With-R

  An extremely long review of R.

  627131131

• MJeremy2017/reinforcement-learning-implementation

  Reinforcement Learning examples implementation and explanation

  Language:Jupyter Notebook3311013246

• uber-research/TuRBO

  Language:Python1907559

• wangronin/Bayesian-Optimization

  Bayesian Optimization algorithms with various recent improvements

  Language:Python999516

• CoderOneHQ/ultimate-volleyball

  3D RL Volleyball environment built on Unity ML-Agents

  Language:C#914216

• guijinSON/Awesome-Deep-Hedging

  A curated list of resources dedicated to Deep Hedging

  82305

• zhiiiyang/XaringanTutorial

  A quick tutorial on making slides using xaringan

  Language:JavaScript362010

• edomt/tokyo2020

  2020 Summer Olympics medals per million people

  Language:R12101

• jeffheaton/pysamppackage

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

  820

• dabiged/Volve2OPM

  Running the Volve Eclipse Reservoir Simulation files in OPM flow

  Language:ECL7321

• 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.

  Language:Jupyter Notebook6204

• Peymankor/rlvother_for_AMoption

  Language:Python3100

• kouroshHakha/spinningup

  An educational resource to help anyone learn deep reinforcement learning.

  Language:Python110

• hbk-ronak/AmericanOptionPricing

  Least Squares Monte Carlo and Simulated Annealing Approach

  Language:Python0100