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Tensor library for machine learning

Source code for the X Recommendation Algorithm

A Tensorflow implementation of the Deep Listwise Context Model (DLCM) for ranking refinement.

MIMIC-Extract:A Data Extraction, Preprocessing, and Representation Pipeline for MIMIC-III

A Python package to assess and improve fairness of machine learning models.

Datasets derived from US census data

Graph Neural Networks for Social Recommendation, WWW'19

Topic Course in Machine Learning

PGPortfolio: Policy Gradient Portfolio, the source code of "A Deep Reinforcement Learning Framework for the Financial Portfolio Management Problem"(https://arxiv.org/pdf/1706.10059.pdf).

Python 开源项目之「自学编程之路」，保姆级教程：AI实验室、宝藏视频、数据结构、学习指南、机器学习实战、深度学习实战、网络爬虫、大厂面经、程序人生、资源分享。

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📚 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

Fast, differentiable sorting and ranking in PyTorch

Code for the SIGIR20 paper -- Measuring and Mitigating Item Under-Recommendation Bias inPersonalized Ranking Systems

autodp: A flexible and easy-to-use package for differential privacy

an intro workshop about github pages and jekyll

Repository for NeurIPS 2020 Spotlight "AdaBelief Optimizer: Adapting stepsizes by the belief in observed gradients"

starter from "How to Train a GAN?" at NIPS2016

A pytorch implementation of Paper "Improved Training of Wasserstein GANs"