😎 Python Asyncio 精选资源列表，囊括了网络框架，库，软件等资源

A game theoretic approach to explain the output of any machine learning model.

Distributed Asynchronous Hyperparameter Optimization in Python

A web-based application for quick, scalable, and automated hyperparameter tuning and stacked ensembling in Python.

a distributed Hyperband implementation on Steroids

Machine Learning in R

Feature selector is a tool for dimensionality reduction of machine learning datasets

Full Speed Python: a book for self-learners

🧯风险控制笔记，适用于互联网企业

Open-source implementation of Google Vizier for hyper parameters tuning

A Python implementation of global optimization with gaussian processes.

📚 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

📖 A curated list of resources dedicated to Natural Language Processing (NLP)

A Python scikit for building and analyzing recommender systems

all kinds of text classification models and more with deep learning

Tensorflow implementation of DeepFM for CTR prediction.

A Python-embedded modeling language for convex optimization problems.

Readings in applied data science

Facilitating the design, comparison and sharing of deep text matching models.

Markdown <=> IPython Notebook

收集所有区块链(BlockChain)技术开发相关资料，包括Fabric和Ethereum开发资料

Data Science in the tidyverse, a two-day workshop @ rstudio:conf(2018)

R package to easily insert web icons to RMarkdown

This is the official implementation for the paper 'Deep forest: Towards an alternative to deep neural networks'

Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

Statsmodels: statistical modeling and econometrics in Python

https://www.kaggle.com/c/avito-context-ad-clicks/forums

Compiled Decision Trees for scikit-learn

Python爬虫学习路径图

Data science interview questions with answers. Not ideally (yet)