Michael Cukier (michaelcukier)

michaelcukier

Geek Repo

Company:SAGA Robotics

Location:Lincoln, UK

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Michael Cukier's starred repositories

AutoSpotting

Saves up to 90% of AWS EC2 costs by automating the use of spot instances on existing AutoScaling groups. Installs in minutes using CloudFormation or Terraform. Convenient to deploy at scale using StackSets. Uses tagging to avoid launch configuration changes. Automated spot termination handling. Reliable fallback to on-demand instances.

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Numpy-CNN

A numpy-only implementation of a Convolutional Neural Network, from the ground up.

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LeducPoker

Python implementation of CFR In Leduc Hold'em

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One-Card-Poker-CFG

Counterfactual Regret Minimization to find GTO solution to One Card Poker

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Two-Card-Poker-CFR-AI

Using counter factual regret minimization to computer optimal ranges of hands for each decision

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poker-agent-kit

Collection of game-theoretic algorithms for Poker

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open_spiel

OpenSpiel is a collection of environments and algorithms for research in general reinforcement learning and search/planning in games.

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cpp-cfr

C++ implementations of Counterfactual Regret Minimization and Monte Carlo CFR

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NNDL-solutions

Solutions of the exercises and problems from Michael Nielsen's book Neural Networks and Deep Learning: http://neuralnetworksanddeeplearning.com/

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math-as-code

a cheat-sheet for mathematical notation in code form

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Deep-CFR

Scalable Implementation of Deep CFR and Single Deep CFR

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pluribus-poker-bot-js

An attempt to build the pluribus poker bot

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poker_ai

🤖 An Open Source Texas Hold'em AI

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rlcard

Reinforcement Learning / AI Bots in Card (Poker) Games - Blackjack, Leduc, Texas, DouDizhu, Mahjong, UNO.

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Poker-Fictitious-Play

Fictitious Self-play & Reinforcement Learning

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pycfr

A python implementation of Counterfactual Regret Minimization for poker

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charts

Simple, responsive, modern SVG Charts with zero dependencies

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cfr

Counterfactual Regret Minimization

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evergreen

🌲 Evergreen React UI Framework by Segment

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purge-wrangler

AMD & NVIDIA eGPUs for all Thunderbolt Macs.

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COUNTERFACTUAL-REGRET-MINIMIZATION

Implemented the CFR+ and PureCFR algorithms in Python to find the optimal strategies to 2-player extensive-form games, which was also used in Libratus, the best poker AI in the world

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PyStack

Python implementation of Deepstack

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deeper-stacker

DeeperStacker: DeepHoldem Evil Brother

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regret-matching

Simple implementation of regret matching algorithm for RPS nash equilibrium computation via self-play

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hhp

Poker HandHistory Parser

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coms4995-finalproj

coms4995 Final Project Poker AI

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