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ad-papers

Papers on Computational Advertising

awesome-causality-algorithms

An index of algorithms for learning causality with data

baselines

OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

causalml

Uplift modeling and causal inference with machine learning algorithms

cdcs

Chinese Data Competitions' Solutions

cfrnet

Counterfactual Regression

coursera-ml-andrewng-notes

吴恩达老师的机器学习课程个人笔记

ctr_prediction

CTR prediction using FM FFM and DeepFM

datascicomp

A collection of popular Data Science Competitions

deep_reinforcement_learning_course

Notebooks from our series of blogpost about Deep Reinforcement Learning

deeplearning_ai_books

deeplearning.ai（吴恩达老师的深度学习课程笔记及资源）

econml

ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its goals is to build a toolkit that combines state-of-the-art machine learning techniques with econometrics in order to bring automation to complex causal inference problems. To date, the ALICE Python SDK (econml) implements orthogonal machine learning algorithms such as the double machine learning work of Chernozhukov et al. This toolkit is designed to measure the causal effect of some treatment variable(s) t on an outcome variable y, controlling for a set of features x.

hands-on-ml-zh

hangzhou_house_knowledge

2017年买房经历总结出来的买房购房知识分享给大家，希望对大家有所帮助。买房不易，且买且珍惜。Sharing the knowledge of buy an own house that according to the experience at hangzhou in 2017 to all the people. It's not easy to buy a own house, so I hope that it would be useful to everyone.

kaggle-competition-favorita

5th place solution for Kaggle competition Favorita Grocery Sales Forecasting

kaggle-toxic-starter

Extensible starter code for the Kaggle competition:

kepler.gl

leaves

pure Go implementation of prediction part for GBRT (Gradient Boosting Regression Trees) models from popular frameworks

leetcode-python

My Leetcode practice. Python solution with explanation.

mapboxgl-jupyter

Use Mapbox GL JS to visualize data in a Python Jupyter notebook

mlalgorithms

Minimal and clean examples of machine learning algorithms

mmlspark

Microsoft Machine Learning for Apache Spark

montecarloengine

A simple monte carlo simulation engine for OpenAI's gym.

paper_causalinference_abtest

因果推理&AB实验相关论文小书库

ranking

Learning to Rank in TensorFlow

reinforcement-learning

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

rtb-papers

A collection of research and survey papers of real-time bidding (RTB) based display advertising techniques.

statistical-learning-method_code

手写实现李航《统计学习方法》书中全部算法

tensorflow

An Open Source Machine Learning Framework for Everyone

tensorlayer

Deep Learning and Reinforcement Learning Library for Scientists