wouterkool Goto Github PK
Name: Wouter Kool
Type: User
Company: ORTEC
Bio: PhD in Machine Learning & Optimization / OR Engineer at ORTEC
Twitter: wouter_kool
Location: Amsterdam
Blog: wouterkool.github.io
Name: Wouter Kool
Type: User
Company: ORTEC
Bio: PhD in Machine Learning & Optimization / OR Engineer at ORTEC
Twitter: wouter_kool
Location: Amsterdam
Blog: wouterkool.github.io
Easily create a beautiful website using Academic and Hugo
Ancestral Gumbel-Top-k Sampling
Low-variance and unbiased gradient for backpropagation through categorical random variables, with application in variational auto-encoder and reinforcement learning. ICML 2019
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.
Attention based model for learning to solve different routing problems
OpenAI Baselines: high-quality implementations of reinforcement learning algorithms
DPDP
Estimating Gradients for Discrete Random Variables by Sampling without Replacement
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*.
IlikeCLR
Jekyll in a Docker Container For Easy SSG Development
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.
Go engine with no human-provided knowledge, modeled after the AlphaGo Zero paper.
MNIST like dataset with SET card images
Python wrapper around the Concorde TSP solver
Graph Convolutional Networks in PyTorch
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).
A Camera component for React Native. Also supports barcode scanning!
:carousel_horse: Looped carousel for React Native
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
A PyTorch library for all things Reinforcement Learning (RL) for Combinatorial Optimization (CO)
Unofficial pytorch implementation for Self-critical Sequence Training for Image Captioning. and others.
Get an awesome landing page for your iOS app in less than 30 seconds
Implementation of Stochastic Beam Search using Fairseq
Python library for reading and downloading benchmark instances from the Capacitated Vehicle Routing Library (CVRPLIB).
Personal Website
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