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deep-reinforcement-learning-hands-on

Hands-on Deep Reinforcement Learning, published by Packt

deep_learning_object_detection

A paper list of object detection using deep learning.

deeplift

Public facing deeplift repo

deepreinforcementlearningnanodegree

Exercices and assignments from the Udacity deep reinforcement learning nanodegree

devol

Automated deep neural network design via genetic algorithms

dmc

Diffusion Monte Carlo method

drl_binpacking

3D bin packing is a classical and challenging combinatorial optimization problem in logistics and production systems. An effective bin packing algorithm means the reduction of total packing cost and increase in utilization of resources. Because the cost of packing materials, which is mainly determined by their surface area, occupies the most part of packing cost, and in many real business scenarios there is no bin with fixed size, so AI Department of Cainiao proposed a new type of 3D bin packing problem. The objective of this new type of 3D bin packing problem is to pack all items into a bin with minimized surface area. And a DRL method based on the sequence-to-sequence model is proposed to solve the problem. This is the research paper link: https://arxiv.org/abs/1708.05930. Source code of this method can be found in the project.

dwave-networkx

D-Wave Systems extension of the NetworkX Python package for graphs and graph algorithms.

dwave-pimc

dwave-tabu

Tabu solver for QUBO/Ising problems.

erpnext

Free and Open Source Enterprise Resource Planning (ERP)

evolutionary-algorithm

Evolutionary Algorithm using Python

facets

Visualizations for machine learning datasets

facile

Python constraint programming library

ferminet

An implementation of the Fermionic Neural Network for ab-initio electronic structure calculations

flexible-job-shop-scheduling-problem

fpga-mcmc

FPGA accelerated Path Integral Monte Carlo. Project for computational physics.

ga-fitness-planner

Final project for CS 767 Machine Learning which uses a genetic algorithm that will find the best workout plan for someone

gaft

A Genetic Algorithm Framework in Python

gail_ppo_tf

Tensorflow implementation of Generative Adversarial Imitation Learning(GAIL) with discrete action

gated-graph-neural-network-samples

Sample Code for Gated Graph Neural Networks

gcn

Implementation of Graph Convolutional Networks in TensorFlow

gdrl

Code to go along with the Grokking Deep Reinforcement Learning book

geneticalgorithmswithpython

source code from the book Genetic Algorithms with Python by Clinton Sheppard

geneticalgorithmuniversityclassscheduler

A class scheduler using adaptive-elitist genetic algorithm.

genetiplanner

A Planner for partially visible environment using genetic algorithm

geonet

Code for GeoNet: Unsupervised Learning of Dense Depth, Optical Flow and Camera Pose (CVPR 2018)

github-local

Local clone

graph-neural-network-note

A blog for understanding graph neural network

graph-neural-network-review