☆55Jul 23, 2024Updated last year
Alternatives and similar repositories for causal-flows
Users that are interested in causal-flows are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- ☆32Apr 17, 2025Updated last year
- ☆26Jul 20, 2022Updated 3 years ago
- Python implementation of the img2net algorithm.☆10Jan 7, 2026Updated 5 months ago
- Probabilistic generative model and efficient algorithm to model reciprocity in directed networks.☆16Nov 6, 2023Updated 2 years ago
- ☆20Jul 3, 2023Updated 2 years ago
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- CausalFlows: A library for Causal Normalizing Flows in Pytorch☆33Apr 30, 2025Updated last year
- Experiments to reproduce results in Interventional Causal Representation Learning.☆31Feb 1, 2023Updated 3 years ago
- Causal Modeling with Stationary Diffusions, AISTATS 2024☆22Mar 3, 2025Updated last year
- Inference and sampling on the Hy-MMSBM probabilistic model for hypergraphs.☆24Jul 19, 2023Updated 2 years ago
- Code repository of the paper "CITRIS: Causal Identifiability from Temporal Intervened Sequences" and "iCITRIS: Causal Representation Lear…☆59Jun 16, 2023Updated 3 years ago
- McOpt is an algorithm that can efficiently solve multicommodity routing problems on networks☆14May 18, 2023Updated 3 years ago
- Efficient Conditionally Invariant Representation Learning (ICLR 2023, Oral)☆21Nov 27, 2022Updated 3 years ago
- This repository provides an implementation of DeCaFlow, designed for ease of integration and usability. The codebase is clean, concise, a…☆28Apr 6, 2026Updated 2 months ago
- Optimal transport on Multilayer networks☆16Feb 5, 2025Updated last year
- End-to-end encrypted email - Proton Mail • AdSpecial offer: 40% Off Yearly / 80% Off First Month. All Proton services are open source and independently audited for security.
- Code to reproduce the experiments from the paper "Self-Compatibility: Evaluating Causal Discovery without Ground Truth"☆12Mar 9, 2024Updated 2 years ago
- Structured Neural Networks☆15May 21, 2024Updated 2 years ago
- ☆12Aug 19, 2025Updated 10 months ago
- Code to reproduce our paper on probabilistic algorithmic recourse: https://arxiv.org/abs/2006.06831☆37Dec 27, 2022Updated 3 years ago
- Normalizing flows in PyTorch☆462Mar 10, 2026Updated 3 months ago
- This packages provides a simple python implementation of Invariant Causal Prediction (ICP)☆13Mar 22, 2024Updated 2 years ago
- This is the code for the paper Jacobian-based Causal Discovery with Nonlinear ICA, demonstrating how identifiable representations (partic…☆22Sep 5, 2024Updated last year
- Repository for "Differentiable Causal Discovery from Interventional Data"☆80Jan 31, 2022Updated 4 years ago
- Repository for Deep Structural Causal Models for Tractable Counterfactual Inference☆298Jul 6, 2023Updated 2 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- PyTorch implementation of STAGE model☆17Mar 17, 2025Updated last year
- Official code for the paper "Joint Bayesian Inference of Graphical Structure and Parameters with a Single Generative Flow Network"☆17Aug 9, 2023Updated 2 years ago
- Eastern European Machine Learning Summer School (EEML) Workshop Series 2022. Tutorial on Causality for the Serbian Machine Learning Works…☆21May 7, 2022Updated 4 years ago
- Official repository of the paper "Efficient Neural Causal Discovery without Acyclicity Constraints"☆91Mar 31, 2024Updated 2 years ago
- DynGFN: Bayesian Dynamic Causal Discovery using Generative Flow Networks☆61Sep 17, 2025Updated 9 months ago
- Official Pytorch's implementation of RotoGrad☆83Aug 1, 2023Updated 2 years ago
- Official code for Generative Marginalization Models [ICML 2024] [SPGIM 2023 Workshop Oral]☆23Aug 19, 2024Updated last year
- ☆531Dec 16, 2024Updated last year
- Source code for my PhD thesis: Backpropagation Beyond the Gradient☆21Feb 25, 2023Updated 3 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- Framework to generate observational and interventional samples from structural equation models (SEMs)☆21Apr 14, 2025Updated last year
- [ICLR 2024 Spotlight]☆27Jun 27, 2024Updated 2 years ago
- [ NeurIPS 2023 ] Official Codebase for "Conformal Meta-learners for Predictive Inference of Individual Treatment Effects"☆47Oct 19, 2023Updated 2 years ago
- NeurIPS23 "Flow Factorized Representation Learning"☆45Dec 15, 2025Updated 6 months ago
- ☆49Oct 22, 2024Updated last year
- Code to reproduce the experimental results from the paper "Active Invariant Causal Prediction: Experiment Selection Through Stability", b…☆21Jul 6, 2023Updated 2 years ago
- ☆17Nov 7, 2024Updated last year