yuzhiwai

Zhihu

Chinese Zhihu Code

Machine-learning-learning-notes

周志华《机器学习》又称西瓜书是一本较为全面的书籍，书中详细介绍了机器学习领域不同类型的算法(例如：监督学习、无监督学习、半监督学习、强化学习、集成降维、特征选择等)，记录了本人在学习过程中的理解思路与扩展知识点，希望对新人阅读西瓜书有所帮助！

dowhy

DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.

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.

TensorFlowOnSpark

TensorFlowOnSpark brings TensorFlow programs to Apache Spark clusters.

horovod

Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.

fraudar

A wrapper of FRAUDAR algorithm

HMGNN

awesome-graph-classification

A collection of important graph embedding, classification and representation learning papers with implementations.

XAI-papers

awesome-decision-tree-papers

A collection of research papers on decision, classification and regression trees with implementations.

awesome-fraud-detection-papers

A curated list of data mining papers about fraud detection.

oneflow

OneFlow is a deep learning framework designed to be user-friendly, scalable and efficient.

AutoFeatures

Automated Feature Selection

autofeat

Linear Prediction Model with Automated Feature Engineering and Selection Capabilities

abu

阿布量化交易系统(股票，期权，期货，比特币，机器学习) 基于python的开源量化交易，量化投资架构

toad

ESC Team's credit scorecard tools.

Hands-On-Machine-Learning-for-Algorithmic-Trading

Hands-On Machine Learning for Algorithmic Trading, published by Packt

machine-learning-for-trading

Code for Machine Learning for Algorithmic Trading, 2nd edition.

awesome-machine-learning-interpretability

A curated list of awesome responsible machine learning resources.

scikit-uplift

:exclamation: uplift modeling in scikit-learn style in python :snake:

talib-document

talib学习 talib中文翻译 talib中文文档

SGX-Full-OrderBook-Tick-Data-Trading-Strategy

Providing the solutions for high-frequency trading (HFT) strategies using data science approaches (Machine Learning) on Full Orderbook Tick Data.

industry-machine-learning

A curated list of applied machine learning and data science notebooks and libraries across different industries (by @firmai)

pytorch_geometric

Graph Neural Network Library for PyTorch

AGNN

Zero-shot Video Object Segmentation via Attentive Graph Neural Networks (ICCV2019 Oral)

graph-learn

An Industrial Graph Neural Network Framework

GraphScope

🔨 🍇 💻 🚀 GraphScope: A One-Stop Large-Scale Graph Computing System from Alibaba | 一站式图计算系统

dgl

Python package built to ease deep learning on graph, on top of existing DL frameworks.

bgnn