Wouter Kool (wouterkool)

wouterkool

Geek Repo

Company:ORTEC

Location:Amsterdam

Home Page:wouterkool.github.io

Twitter:@wouter_kool

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Wouter Kool's repositories

attention-learn-to-route

Attention based model for learning to solve different routing problems

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stochastic-beam-search

Implementation of Stochastic Beam Search using Fairseq

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dpdp

DPDP

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estimating-gradients-without-replacement

Estimating Gradients for Discrete Random Variables by Sampling without Replacement

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ancestral-gumbel-top-k-sampling

Ancestral Gumbel-Top-k Sampling

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ilikeclr

IlikeCLR

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react-native-looped-carousel

:carousel_horse: Looped carousel for React Native

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reinforcement-learning

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

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HGS-CVRP

Modern implementation of the hybrid genetic search (HGS) algorithm specialized to the capacitated vehicle routing problem (CVRP). This code also includes an additional neighborhood called SWAP*.

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set-finder-app-landing-page

Get an awesome landing page for your iOS app in less than 30 seconds

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VRPLIB

Python library for reading and downloading benchmark instances from the Capacitated Vehicle Routing Library (CVRPLIB).

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jupyter-gym-vnc

A Docker image to run the OpenAI Gym environment in Jupyter notebooks. No host system X11 support needed, graphical parts of the Gym are visible by VNC.

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MNISET

MNIST like dataset with SET card images

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pytorch-a2c-ppo-acktr

PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO) and Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKTR).

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academic-kickstart

Easily create a beautiful website using Academic and Hugo

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ARSM-1

Low-variance and unbiased gradient for backpropagation through categorical random variables, with application in variational auto-encoder and reinforcement learning. ICML 2019

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artemis

Artemis aims to get rid of all the boring, bureaucratic coding (plotting, file management, organizing experiments, etc) involved in machine learning projects, so you can get to the good stuff quickly.

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baselines

OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

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jekyll-serve

Jekyll in a Docker Container For Easy SSG Development

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leela-zero

Go engine with no human-provided knowledge, modeled after the AlphaGo Zero paper.

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pyconcorde

Python wrapper around the Concorde TSP solver

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pygcn

Graph Convolutional Networks in PyTorch

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react-native-camera

A Camera component for React Native. Also supports barcode scanning!

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self-critical.pytorch

Unofficial pytorch implementation for Self-critical Sequence Training for Image Captioning. and others.

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wouterkool.github.io

Personal Website

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