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Papers on Computational Advertising

alimama

天池大数据阿里妈妈广告点击转换率预测比赛。

buaawht.github.io

buaawht.github.io

budget_constrained_bidding

Budget Constrained Bidding for Display Advertising using Model-free Reinforcement Learning

compg0124

deepfm-tf2

DeepFM: A Factorization-Machine based Neural Network for CTR Prediction / xDeepFM: Combining Explicit and Implicit Feature Interactions for Recommender Systems

deepinterestnetwork

dien-tf2

Deep Interest Network for Click-Through Rate Prediction / Deep Interest Evolution Network for Click-Through Rate Prediction

dqn-rtb

Implementation of a DQN-inspired algorithm in an RTB setting

dynamic-memory-networks-plus-pytorch

Implementation of Dynamic memory networks plus in Pytorch

gcforest

This is the official implementation for the paper 'Deep forest: Towards an alternative to deep neural networks'

gcforest-master-feature

Add feature score for gcForest(only use xboost and rf)

hvisnet

Code and Data for Real-time Human-Centric Segmentation for Complex Video Scenes

lite.ai.toolkit

🛠 A lite C++ toolkit of awesome AI models with ONNXRuntime, NCNN, MNN and TNN. YOLOX, YOLOP, MODNet, YOLOR, NanoDet, YOLOX, SCRFD, YOLOX . MNN, NCNN, TNN, ONNXRuntime, CPU/GPU.

machinelearning

My blogs and code for machine learning. http://cnblogs.com/pinard

maddpg

Implementation of Multi-Agent Deep Deterministic Policy Gradients

optimal-rtb

A benchmarking framework supporting the experiments in KDD'14 paper "Optimal Real-Time Bidding for Display Advertising"

optimalbiddingmicrogrid

A Reinforcement Learning agent for an energy bidding problem in a simulated MicroGrid

python-100-days

Python - 100天从新手到大师

rtb-agent

Real time bidding for advertisements using reinforcement learning.

tfpyth

Putting TensorFlow back in PyTorch, back in TensorFlow (differentiable TensorFlow PyTorch adapters).