A curated list of awesome Recommender System (Books, Conferences, Researchers, Papers, Github Repositories, Useful Sites, Youtube Videos)

Covid-19 Twitter dataset for non-commercial research use and pre-processing scripts - under active development

Deep Learning (with PyTorch)

A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.

李宏毅《机器学习》笔记，在线阅读地址：https://datawhalechina.github.io/leeml-notes

CockroachDB - the open source, cloud-native SQL database.

PyTorch Tutorial for Deep Learning Researchers

A series of DAGs/Workflows to help maintain the operation of Airflow

2019年最新总结，阿里，腾讯，百度，美团，头条等技术面试题目，以及答案，专家出题人分析汇总。

DGL tutorial in KDD 2019

KDD19 Tutorial: From Shallow to Deep Language Representations: Pre-training, Fine-tuning, and Beyond

A tutorial demonstrating how to implement deep learning models for time series forecasting

GluonTS - Probabilistic Time Series Modeling in Python

A few exercises for use at events.

A course in reinforcement learning in the wild

Set up a modern web app by running one command.

Learning material for https://www.coursera.org/specializations/aml

Python Helper library for Jupyter Notebooks

Homebrew tap for Python versions.

Learning embeddings for classification, retrieval and ranking.

Handsontable Community Edition - JavaScript/HTML5 Data Grid Component with Spreadsheet Look & Feel. Available for React, Vue and Angular.

Advanced Machine Learning Specialization on Coursera

2018/2019/校招/春招/秋招/算法/机器学习(Machine Learning)/深度学习(Deep Learning)/自然语言处理(NLP)/C/C++/Python/面试笔记

Python module to get stock data from Yahoo! Finance

Generalized Random Forests

A simple yet robust API client for Robinhood

Python Framework to make trades with Robinhood Private API

A Library for Field-aware Factorization Machines

Multi-core implementation of Regularized Greedy Forest

Files for the Advanced Machine Learning Coursera course