xuezhizhang Goto Github PK
Type: User
Type: User
500 Lines or Less
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
Python DSL for Argo Workflows
Pytorch implementation of Augmented Neural ODEs :sunflower:
An index of algorithms for learning causality with data
A data index for learning causality.
Using tetrad to perform causal analysis for a university dataset
Python code for part 2 of the book Causal Inference: What If, by Miguel Hernán and James Robins
Package for causal inference in graphs and in the pairwise settings. Tools for graph structure recovery and dependencies are included.
Causal Graphical Models in Python
An R package for causal inference in time series
Causal Inference in Python
Tools for causal analysis
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。
A unified interface for the estimation of causal networks
Corman Lisp
🔮 Master Thesis for Double Degree for Master in Software Engineering at FH Technikum Wien: Analysis of Counterfactuals with Statistical Inference System
Graphical analysis of structural causal models / graphical causal models.
Implementation of Deep IV: A Flexible Approach for Counterfactual Prediction
Repository for Deep Structural Causal Models for Tractable Counterfactual Inference
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.
Deconfounding Reinforcement Learning in Observational Settings
The simple, stupid rules engine for Java
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'.
Finanacial research data services for academics.
Python library for converting Python calculations into rendered latex.
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 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.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.