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12306

12306智能刷票，订票

aaai_melding_code

Code the AAAI 2019 paper "Melding the Data-Decisions Pipeline: Decision-Focused Learning for Combinatorial Optimization"

ad-papers

Papers on Computational Advertising

advisor

Open-source implementation of Google Vizier for hyper parameters tuning

alphago_demo

This is the code for "How Does DeepMind's AlphaGo Zero Work?" Siraj Raval on Youtube

astgcn-r-pytorch

Attention Based Spatial-Temporal Graph Convolutional Networks for Traffic Flow Forecasting, AAAI 2019, pytorch version

autodl

Automated Deep Learning without ANY human intervention. 1'st Solution for AutoDL challenge@NeurIPS.

awesome-anomaly-detection

A curated list of awesome anomaly detection resources

awesome-automl-papers

A curated list of automated machine learning papers, articles, tutorials, slides and projects

awesome-graph-classification

A collection of important graph embedding, classification and representation learning papers with implementations.

bayesian-neural-networks

Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more

bayesiandeeplearning-survey

Bayesian Deep Learning: A Survey

bgnn

bptf

Temporal Collaborative Filtering with Bayesian Probabilistic Tensor Factorization

cs-notes

:books: 技术面试必备基础知识、Leetcode、计算机操作系统、计算机网络、系统设计

deep-and-confident-prediction-for-time-series-at-uber

keras 实现Deep and Confident Prediction for Time Series at Uber中的结构

deep-learning-with-tensorflow-book

深度学习入门开源书，基于TensorFlow 2.0案例实战。Open source Deep Learning book, based on TensorFlow 2.0 framework.

deeprl

Deep Reinforcement Learning Lab, a platform designed to make DRL technology and fun for everyone

deeptcn

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.

dvnd-df

A Dataflow implementation of DVND Local Search for the Minimum Latency Problem using GPU card

e2ec

E2EC: An End-to-End Contour-based Method for High-Quality High-Speed Instance Segmentation

familia

A Toolkit for Industrial Topic Modeling

feitsui

翡翠粤语歌词网歌词下载

ga_vrp_gpu

gcn

Implementation of Graph Convolutional Networks in TensorFlow

gpu-based-mmas

GPU-based parallel implementation of the MAX-MIN Ant System

hybrid-cp-rl-solver

Combining Reinforcement Learning and Constraint Programming for Combinatorial Optimization

informer2020

The GitHub repository for the paper "Informer" accepted by AAAI 2021.

keras-tcn

Keras Temporal Convolutional Network.