qiangge1987 Goto Github PK

3d-bin-packing

3D Bin Packing improvements based on https://github.com/enzoruiz/3dbinpacking

adversarial

Code and hyperparameters for the paper "Generative Adversarial Networks"

attention-is-all-you-need-pytorch

A PyTorch implementation of the Transformer model in "Attention is All You Need".

attention-learn-to-route

Attention based model for learning to solve different routing problems

blackbox-backprop

Torch modules that wrap blackbox combinatorial solvers according to the method presented in "Differentiating Blackbox Combinatorial Solvers"

book-mathmatical-foundation-of-reinforcement-learning

This is the homepage of a new book entitled "Mathematical Foundations of Reinforcement Learning."

chinesechess-alphazero

Implement AlphaZero/AlphaGo Zero methods on Chinese chess.

deep-reinforcement-stock-trading

A light-weight deep reinforcement learning framework for portfolio management. This project explores the possibility of applying deep reinforcement learning algorithms to stock trading in a highly modular and scalable framework.

ecog2txt

code for decoding speech as text from neural data

ga-for-cvrp

Capacitated Vehicle Routing Problem

genetic-algorithm-for-job-shop-scheduling-and-nsga-ii

Learning how to implement GA and NSGA-II for job shop scheduling problem in python

google-api-python-client

Automatically exported from code.google.com/p/google-api-python-client

kevin

nlp-learning-tutorials

pytorch-drl4vrp

Implementation of: Nazari, Mohammadreza, et al. "Deep Reinforcement Learning for Solving the Vehicle Routing Problem." arXiv preprint arXiv:1802.04240 (2018).

q-trader

Deep Q-learning driven stock trader bot

reinforcement-learning-with-tensorflow

Simple Reinforcement learning tutorials

tensorflow_practice

tensorflow实战练习，包括强化学习、推荐系统、nlp等

tsp_collection

TSP算法全复现：遗传(GA)、粒子群(PSO)、模拟退火(SA)、禁忌搜索(ST)、蚁群算法(ACO)、自自组织神经网络(SOM)

vehicleroutingproblem

Solved using AI techniques: Savings, Sweep, Genetic Algorithm, Google OR Tools

vrp-rl

Reinforcement Learning for Solving the Vehicle Routing Problem