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adanet

Fast and flexible AutoML with learning guarantees.

adv_fin_ml_exercises

Experimental solutions to selected exercises from the book [Advances in Financial Machine Learning by Marcos Lopez De Prado]

akshare

AkShare is a utility for crawling data of financial market!

awesome-ai-in-finance

🔬 A curated list of awesome machine learning strategies & tools in financial market.

awesome-automl-papers

A curated list of automated machine learning papers, articles, tutorials, slides and projects

awesome-machine-learning-interpretability

A curated list of awesome machine learning interpretability resources.

bvar_

Empirical macro toolbox

cdml-neurips2020

This repository captures source code and data sets for our paper at the Causal Discovery & Causality-Inspired Machine Learning Workshop at Neural Information Processing Systems (NeurIPS) 2020.

cif

Composite Indicators Framework for Business Cycle Analysis

cne5_factors

cta_factor_backtrade

ctpgao

基于ctp接口开发的交易框架(接口类型仿 天勤sdk)

cvxportfolio

Portfolio optimization and simulation in Python

cvxpy

A Python-embedded modeling language for convex optimization problems.

econometricswithr

📖An interactive companion to the well-received textbook 'Introduction to Econometrics' by Stock & Watson (2015)

embeddingportfolio

A repository for portfolio allocation based on embedding data representation

empyrical

Common financial risk and performance metrics. Used by zipline and pyfolio.

enas-pytorch

PyTorch implementation of "Efficient Neural Architecture Search via Parameters Sharing"

factor

featurewiz

Use advanced feature engineering strategies and select best features from your data set with a single line of code.

fes

Code and Resources for "Feature Engineering and Selection: A Practical Approach for Predictive Models" by Kuhn and Johnson

fortitudo.tech

Investment and risk technologies maintained by Fortitudo Technologies.

fushare

A utility for fundamentals data of China commodity futures

hypergraph

Genetic algorithms and hyper-parameters optimization

iml_methods_limitations

Seminar on Limitations of Interpretable Machine Learning Methods

interpretable_machine_learning_with_python

Practical techniques for training interpretable ML models, explaining ML models, and debugging ML models.

ivix

**波指的计算

jaqs

lime

Lime: Explaining the predictions of any machine learning classifier

lofo-importance

Leave One Feature Out Importance