Alternatives and similar repositories for PyRKHSstats

Users that are interested in PyRKHSstats are comparing it to the libraries listed below

• Valentyn1997 / CausalTransformer
  Code for the paper "Causal Transformer for Estimating Counterfactual Outcomes"
  ☆161Updated last year
• Akomand / SCM-VAE
  Code Repository for SCM-VAE (IEEE Big Data)
  ☆10Updated 2 years ago
• psanch21 / causal-flows
  ☆51Updated last year
• ignavierng / golem
  On the Role of Sparsity and DAG Constraints for Learning Linear DAGs
  ☆33Updated 4 years ago
• kevinsbello / dagma
  A Python 3 package for learning Bayesian Networks (DAGs) from data. Official implementation of the paper "DAGMA: Learning DAGs via M-matr…
  ☆126Updated last year
• Liao-Xu / DDR
  This repository is the demo implementation of [Deep Dimension Reduction for Supervised Representation Learning].
  ☆10Updated last year
• AdalbertoCq / Dirichlet_processes
  Brief introduction and implementations of related concepts to Dirichlet Processes: GEM distribution, Polya Urn, Chinese restaurant proces…
  ☆25Updated 5 years ago
• IntelLabs / causality-lab
  Causal discovery algorithms and tools for implementing new ones
  ☆229Updated 3 months ago
• cmu-phil / py-tetrad
  Makes algorithms/code in Tetrad available in Python via JPype
  ☆84Updated last week
• divyat09 / cate-estimator-selection
  Code accompanying the paper "Empirical analysis of model selection for heterogeneous causal effect estimation"
  ☆13Updated 8 months ago
• py-why / causal-learn
  Causal Discovery in Python. It also includes (conditional) independence tests and score functions.
  ☆1,466Updated 3 months ago
• IntelLabs / bayesian-torch
  A library for Bayesian neural network layers and uncertainty estimation in Deep Learning extending the core of PyTorch
  ☆624Updated 5 months ago
• huawei-noah / trustworthyAI
  Trustworthy AI related projects
  ☆1,070Updated 2 months ago
• vveitch / causality-tutorials
  Short tutorials on the use of machine learning methods for causal inference
  ☆48Updated 2 years ago
• davenza / PyBNesian
  PyBNesian is a Python package that implements Bayesian networks.
  ☆47Updated 2 months ago
• Harry24k / bayesian-neural-network-pytorch
  PyTorch implementation of bayesian neural network [torchbnn]
  ☆542Updated last year
• statmlben / awesome-statml
  This repository contains a list of awesome literature in statistics and machine learning.
  ☆13Updated last year
• aangelopoulos / conformal-prediction
  Lightweight, useful implementation of conformal prediction on real data.
  ☆956Updated 3 months ago
• jmoss20 / notears
  Implementation of "DAGs with NO TEARS: Smooth Optimization for Structure Learning", by Zheng et al. (2018)
  ☆49Updated 6 years ago
• juangamella / ges
  Python implementation of the GES algorithm for causal discovery, from the 2002 paper "Optimal Structure Identification With Greedy Search…
  ☆61Updated 7 months ago
• siamakz / iVAE
  VAEs and nonlinear ICA: a unifying framework
  ☆49Updated 6 years ago
• microsoft / Project-BayesDAG
  ☆14Updated last year
• statmlben / CUHK-STAT3009
  Recommender systems in Python
  ☆28Updated last week
• xunzheng / notears
  DAGs with NO TEARS: Continuous Optimization for Structure Learning
  ☆648Updated last year
• baosws / DrBO
  Causal Discovery via Bayesian Optimization (DrBO) - ICLR 2025
  ☆23Updated 6 months ago
• rguo12 / awesome-causality-data
  A data index for learning causality.
  ☆478Updated last year
• aleximmer / Laplace
  Laplace approximations for Deep Learning.
  ☆518Updated 5 months ago
• mfederici / torch-mist
  Implementation of a PyTorch Mutual Information Estimation Toolkit
  ☆21Updated last year
• automl / TransformersCanDoBayesianInference
  Official Implementation of "Transformers Can Do Bayesian Inference", the PFN paper
  ☆233Updated 11 months ago
• ilkhem / icebeem
  Code for ICE-BeeM paper - NeurIPS 2020
  ☆87Updated 4 years ago