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500lines

500 Lines or Less

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

argo-python-dsl

Python DSL for Argo Workflows

augmented-neural-odes

Pytorch implementation of Augmented Neural ODEs :sunflower:

awesome-causality-algorithms

An index of algorithms for learning causality with data

awesome-causality-data

A data index for learning causality.

causal-cmd

causal_analysis

Using tetrad to perform causal analysis for a university dataset

causal_inference_python_code

Python code for part 2 of the book Causal Inference: What If, by Miguel Hernán and James Robins

causaldiscoverytoolbox

Package for causal inference in graphs and in the pairwise settings. Tools for graph structure recovery and dependencies are included.

causalgraphicalmodels

Causal Graphical Models in Python

causalimpact

An R package for causal inference in time series

causalinference

Causal Inference in Python

causality

Tools for causal analysis

causalityeventextraction

Causality event extraction demo project including casual patterns and experiment on large scale corpus. 基于因果关系知识库的因果事件图谱实验项目，本项目罗列了因果显式表达的几种模式，基于这种模式和大规模语料，再经过融合等操作，可形成因果事件图谱。

comparecausalnetworks

A unified interface for the estimation of causal networks

cormanlisp

Corman Lisp

counterfactuals

🔮 Master Thesis for Double Degree for Master in Software Engineering at FH Technikum Wien: Analysis of Counterfactuals with Statistical Inference System

dagitty

Graphical analysis of structural causal models / graphical causal models.

deepiv

Implementation of Deep IV: A Flexible Approach for Counterfactual Prediction

deepscm

Repository for Deep Structural Causal Models for Tractable Counterfactual Inference

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.

drl

Deconfounding Reinforcement Learning in Observational Settings

easy-rules

The simple, stupid rules engine for Java

fengkong

filterpy

Python Kalman filtering and optimal estimation library. Implements Kalman filter, particle filter, Extended Kalman filter, Unscented Kalman filter, g-h (alpha-beta), least squares, H Infinity, smoothers, and more. Has companion book 'Kalman and Bayesian Filters in Python'.

frds

Finanacial research data services for academics.

handcalcs

Python library for converting Python calculations into rendered latex.

hol

Canonical sources for HOL4 theorem-proving system. Branch `develop` is where “mainline development” occurs; when `develop` passes our regression tests, `master` is merged forward to catch up.

kalman-and-bayesian-filters-in-python

Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.