lorentzbao,SELEE,github

abides

ABIDES: Agent-Based Interactive Discrete Event Simulation

awesome-automl-papers

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

causalml

Uplift modeling and causal inference with machine learning algorithms

causalnex

A Python library that helps data scientists to infer causation rather than observing correlation.

data-science-question-answer

A repo for data science related questions and answers

deploying-machine-learning-models

Example Repo for the Udemy Course "Deployment of Machine Learning Models"

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.

feature-selection-for-machine-learning

Code repository for the online course Feature Selection for Machine Learning

kedro

A Python library that helps you create reproducible, maintainable and modular data science code.

lightgbm

A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.

mlrose

Python package for implementing a number of Machine Learning, Randomized Optimization and SEarch algorithms.

openai-cookbook

Examples and guides for using the OpenAI API

pandas

Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more

pgmpy

Python Library for learning (Structure and Parameter), inference (Probabilistic and Causal), and simulations in Bayesian Networks.

pwc

Papers with code. Sorted by stars. Updated weekly.

qlib

Qlib is an AI-oriented quantitative investment platform, which aims to realize the potential, empower the research, and create the value of AI technologies in quantitative investment. With Qlib, you can easily try your ideas to create better Quant investment strategies.

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