An easy-to-use for large scale recommendation algorithms.

A framework for large scale recommendation algorithms.

A curated list of awesome Machine Learning frameworks, libraries and software.

推荐/广告/搜索领域工业界经典以及最前沿论文集合。A collection of industry classics and cutting-edge papers in the field of recommendation/advertising/search.

Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Flink and DataFlow

它是一个工作流。可快速构建指定架构/平台的docker镜像

list of papers, code, and other resources

搜索、推荐、广告、用增等工业界实践文章收集（来源：知乎、Datafuntalk、技术公众号）

Easy-to-use,Modular and Extendible package of deep-learning based CTR models .

【PyTorch】Easy-to-use,Modular and Extendible package of deep-learning based CTR models.

经济学人(含音频)、纽约客、卫报、连线、大西洋月刊等英语杂志免费下载,支持epub、mobi、pdf格式, 每周更新

Awesome Japanese Learning Resources

A way to use N-Beats in fastai for sequence data

A collection of awesome study resources for learners of English.

This curated list contains python packages for time series analysis

List of papers, code and experiments using deep learning for time series forecasting

An async program for futures-spot arbitrage on OKEx using V5 API.

Papers from the computer science community to read and discuss.

Novel Coronavirus (COVID-19) Cases, provided by JHU CSSE

Deep learning for recommender systems

Natural Language Processing Tutorial for Deep Learning Researchers

Implementation of Markov Chain Monte Carlo in Python from scratch

基于Python的开源量化交易平台开发框架

A topic-centric list of high-quality open datasets in public domains. New PR ☛☛☛

A Python scikit for building and analyzing recommender systems

This repository contains Deep Learning based articles , paper and repositories for Recommender Systems

线性代数笔记

Deep Learning tutorials in jupyter notebooks.

This repository provides state of the art (SoTA) results for all machine learning problems. We do our best to keep this repository up to date. If you do find a problem's SoTA result is out of date …