kenneth-lee-ch Goto Github PK

6.s091-causality

academic-kickstart

Easily create a beautiful website using Academic and Hugo

advice

A repository of links with advice related to grad school applications, research, phd etc

algoexpert

The solutions to algoexpert's problems

arxiv-latex-cleaner

arXiv LaTeX Cleaner: Easily clean the LaTeX code of your paper to submit to arXiv

awesome-causality-algorithms

An index of algorithms for learning causality with data

awesome-self-supervised-learning

A curated list of awesome self-supervised methods

awesome-transformer-attention

An ultimately comprehensive paper list of Vision Transformer/Attention, including papers, codes, and related websites

benchpress

A Snakemake workflow to run and benchmark structure learning (a.k.a. causal discovery) algorithms for probabilistic graphical models.

calibtools

Posterior probability calibration methods for machine learning algorithms

causal-flows

causal-inference-and-discovery-in-python

Causal Inference and Discovery in Python by Packt Publishing

causal-learn

Python translation (and extension) of the Tetrad java code.

causaldag

Python package for the creation, manipulation, and learning of Causal DAGs

causaldiscoverytoolbox

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

causaleffect

Python package to compute conditional and non-conditional causal effects.

causality-lab

Causal discovery algorithms and tools for implementing new ones

causality4nlp_papers

A reading list for papers on causality for natural language processing (NLP)

causalml

The open source repository for the Causal Modeling in Machine Learning Workshop at Altdeep.ai @ www.altdeep.ai/courses/causalML

causalml-1

Uplift modeling and causal inference with machine learning algorithms

chirho

An experimental language for causal reasoning

citibike

CitiBike System Data Analysis

deep-reinforcement-learning-algorithms-with-pytorch

PyTorch implementations of deep reinforcement learning algorithms and environments

demo

For UserTesting to view

domainbed

DomainBed is a suite to test domain generalization algorithms

efficientr2

A rich case study workshop in taking R code and making it more efficient.

gflownet

Generative Flow Networks

go

The Open Source Data Science Masters

hyppo

Python package for multivariate hypothesis testing

id4ip

Finding Invariant Predictors Efficiently via Causal Structure