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coursera机器学习笔记
C++ 匠心之作 从0到1入门资料
🍨 Online machine learning in Python
kaggle 2014 criteo ctr竞赛方案整理 https://www.kaggle.com/c/criteo-display-ad-challenge
基于深度学习的CTR预估,从FM推演各深度学习CTR预估模型(附代码)
CTR prediction using FM FFM and DeepFM
CV岗常见面试题(欢迎大家补充!!!)
《动手学深度学习》
A collection of popular Data Science Competitions
An attempt of training DNN models to predict ad click-through rate, implemented with Theano.
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
深度学习在推荐系统中的应用及论文小结。
Repo for the Deep Reinforcement Learning Nanodegree program
PyTorch implementations of deep reinforcement learning algorithms and environments
A list of recent papers regarding deep reinforcement learning
基础的深度学习实验研究结果汇总笔记
This project contains several DNN models for for CTR/CVR implenmented with tf and keras
Implementation for the paper "DeepGBM: A Deep Learning Framework Distilled by GBDT for Online Prediction Tasks", which has been accepted by KDD'2019.
深度学习相关的模型训练、评估和预测相关代码
深度学习500问,以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述,以帮助自己及有需要的读者。 全书分为15个章节,近20万字。由于水平有限,书中不妥之处恳请广大读者批评指正。 未完待续............ 版权所有,违权必究 Tan 2018.06
MXNet for CTR
深度学习面试问题 回答对应的DeepLearning中文版页码
Implementation of Deep Learning based Recommender Algorithms with Tensorflow.
推荐、广告工业界经典以及最前沿的论文、资料集合/ Must-read Papers on Recommendation System and CTR Prediction
Deep Reinforcement Learning Lab, a platform designed to make DRL technology and fun for everyone
Recommender-In-Detail is a package which offers detailed implementations of state-of-the-art techniques and basic methods in recommendation.
Deep Learning Interview 深度学习面试题目汇总
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.