Active learning for optimal intervention design in causal models
☆17Nov 8, 2023Updated 2 years ago
Alternatives and similar repositories for actlearn_optint
Users that are interested in actlearn_optint are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Code to reproduce the experimental results from the paper "Active Invariant Causal Prediction: Experiment Selection Through Stability", b…☆21Jul 6, 2023Updated 2 years ago
- Code to reproduce the numerical experiments in the paper Domain adaptation under structural causal models by Yuansi Chen and Peter Bühlma…☆17Jun 7, 2021Updated 4 years ago
- Supervised Training of Conditional Monge Maps☆19Oct 30, 2023Updated 2 years ago
- This is the code for the paper Embrace the Gap: VAEs perform Independent Mechanism Analysis, showing that optimizing the ELBO is equivale…☆22Apr 22, 2024Updated 2 years ago
- ☆22Nov 11, 2023Updated 2 years ago
- Managed Database hosting by DigitalOcean • AdPostgreSQL, MySQL, MongoDB, Kafka, Valkey, and OpenSearch available. Automatically scale up storage and focus on building your apps.
- LEAP is a tool for discovering latent temporal causal relations with gradient-based neural network.☆40Sep 11, 2022Updated 3 years ago
- Python package for the creation, manipulation, and learning of Causal DAGs☆159Apr 12, 2023Updated 3 years ago
- Public dataset repository for the Causal Chamber Project☆62Mar 27, 2026Updated last month
- Python implementation of the GES algorithm for causal discovery, from the 2002 paper "Optimal Structure Identification With Greedy Search…☆62Mar 3, 2025Updated last year
- Codebase for BioPathNet to predict links in biomedical knowledge graphs☆37Feb 19, 2026Updated 2 months ago
- Codebase for Cross-Spectral Factor Analysis (Gallagher et al., 2017)☆15Jan 18, 2021Updated 5 years ago
- ☆14Jan 9, 2022Updated 4 years ago
- code for paper: Identifiability Guarantees for Causal Disentanglement from Soft Interventions☆15Nov 27, 2023Updated 2 years ago
- ☆18Aug 23, 2019Updated 6 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.
- Learning Single-Cell Perturbation Responses using Neural Optimal Transport☆171Oct 31, 2024Updated last year
- A pytorch version of hamiltonian monte carlo☆15Jun 26, 2019Updated 6 years ago
- Agent-based model for systemically-important banks in the EU. Reproduces Cont-Schaanning 2017.☆11May 8, 2021Updated 4 years ago
- ☆33Feb 21, 2024Updated 2 years ago
- Official repository of the paper "Efficient Neural Causal Discovery without Acyclicity Constraints"☆90Mar 31, 2024Updated 2 years ago
- Reproduction of Curiosity-driven Exploration by Self-supervised Prediction in PyTorch☆13Jun 10, 2019Updated 6 years ago
- Interpretable and model-robust causal inference for heterogeneous treatment effects using generalized linear working models with targeted…☆27Apr 7, 2022Updated 4 years ago
- Official Implementation of the CVPR'23 paper 'Regularization of polynomial networks for image recognition'.☆10Jun 8, 2023Updated 2 years ago
- Predicting Cellular Responses with Variational Causal Inference and Refined Relational Information (ICLR 2023)☆18Jun 15, 2025Updated 10 months ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- The companion code to the paper "Model-based Causal Bayesian Optimization"☆11Nov 16, 2022Updated 3 years ago
- ☆15Nov 23, 2023Updated 2 years ago
- GP Sinkhorn Implementation, paper: https://www.mdpi.com/1099-4300/23/9/1134☆23May 1, 2022Updated 4 years ago
- Accompanying code for AAAI 2021 publication - High-Dimensional Bayesian Optimization via Tree-Structured Additive Models☆11Jun 19, 2024Updated last year
- ☆13Jun 15, 2024Updated last year
- Bayesian Optimization Meets Self-Distillation, ICCV 2023☆10Aug 28, 2023Updated 2 years ago
- Methods for heterogeneous treatment effect estimation☆24Mar 14, 2022Updated 4 years ago
- Causal discovery with typed directed acyclic graphs (t-DAG). This is a ServiceNow Research project that was started at Element AI.☆13Jul 6, 2023Updated 2 years ago
- ☆14Mar 16, 2023Updated 3 years ago
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- Benchmarking study of machine learning methods for prediction of synthetic lethality☆21Nov 15, 2024Updated last year
- Temporal and Causal Reasoning (dataset)☆10Apr 19, 2022Updated 4 years ago
- Quick start for IronCore's encrypted Elasticsearch proxy☆16Jul 29, 2024Updated last year
- Quantifying and describing blood-oxygen-level dependent (BOLD) spatial propagation activity☆29Sep 6, 2023Updated 2 years ago
- a WIP architecture designed to allow transformers to think in a manner without tokens☆20Apr 12, 2024Updated 2 years ago
- Python implementation for Combining Latent Space and Structured Kernels for Bayesian Optimization over Combinatorial Spaces.☆13Nov 30, 2021Updated 4 years ago
- Faster GP-LVM software in MATLAB.☆32May 19, 2021Updated 4 years ago