Stars
A Python implementation of global optimization with gaussian processes.
Representation learning on large graphs using stochastic graph convolutions.
A collection of resources for Recommender Systems (RecSys)
Source code of CHAMELEON - A Deep Learning Meta-Architecture for News Recommender Systems
Towards Knowledge-Based Personalized Product Description Generation in E-commerce @ KDD 2019
✏️ 算法相关知识储备 LeetCode with Python and JavaScript 📚
Repo for counting stars and contributing. Press F to pay respect to glorious developers.
OpenAI Baselines: high-quality implementations of reinforcement learning algorithms
tensorflow实战练习，包括强化学习、推荐系统、nlp等
A simple TensorFlow-like graph computation framework in Python for learning purpose
An industrial deep learning framework for high-dimension sparse data
Tensorflow implementation of Human-Level Control through Deep Reinforcement Learning
A toolkit for developing and comparing reinforcement learning algorithms.
Our implementation of the paper "Embedding-based News Recommendation for Millions of Users"
Tensorflow implementation of DeepFM for CTR prediction.
Models and examples built with TensorFlow
An Open Source Machine Learning Framework for Everyone
Distributed LR、 FM model on Parameter Server. FTRL and SGD Optimization Algorithm.
Lightweight and Scalable framework that combines mainstream algorithms of Click-Through-Rate prediction based computational DAG, philosophy of Parameter Server and Ring-AllReduce collective communi…
Multithreaded Asynchronous FTRL Proximal Implementation