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…☆22Jul 6, 2023Updated 3 years ago
- Supervised Training of Conditional Monge Maps☆19Oct 30, 2023Updated 2 years ago
- PerturbNet is a deep generative model that can predict the distribution of cell states induced by chemical or genetic perturbation☆66Jan 12, 2026Updated 6 months 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
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- Python package for the creation, manipulation, and learning of Causal DAGs☆162Apr 12, 2023Updated 3 years ago
- Python implementation of the Invariant Causal Prediction (ICP) algorithm, from the 2015 paper "Causal inference using invariant predictio…☆26Feb 15, 2024Updated 2 years ago
- [COLM 2024] Large Language Models as Biomedical Hypothesis Generators: A Comprehensive Evaluation☆15Jul 15, 2024Updated 2 years ago
- Python implementation of the GES algorithm for causal discovery, from the 2002 paper "Optimal Structure Identification With Greedy Search…☆64Mar 3, 2025Updated last year
- Causal Inference Using Quasi-Experimental Methods☆21Jan 15, 2021Updated 5 years ago
- ☆15Jan 9, 2022Updated 4 years ago
- code for paper: Identifiability Guarantees for Causal Disentanglement from Soft Interventions☆16Nov 27, 2023Updated 2 years ago
- This repo will contain the code for training DINO models and extracting features☆17Aug 4, 2023Updated 2 years ago
- ☆15Mar 8, 2026Updated 4 months ago
- Serverless GPU API endpoints on Runpod - Get Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- ☆18Aug 23, 2019Updated 6 years ago
- Learning Single-Cell Perturbation Responses using Neural Optimal Transport☆176Oct 31, 2024Updated last year
- DiBS: Differentiable Bayesian Structure Learning, NeurIPS 2021☆53Feb 27, 2024Updated 2 years ago
- A pytorch version of hamiltonian monte carlo☆15Jun 26, 2019Updated 7 years ago
- Predicting Cellular Responses with Variational Causal Inference and Refined Relational Information (ICLR 2023)☆18Jun 15, 2025Updated last year
- ☆17Updated this week
- Reproduction of Curiosity-driven Exploration by Self-supervised Prediction in PyTorch☆12Jun 10, 2019Updated 7 years ago
- Public dataset repository for the Causal Chamber Project☆66Jun 7, 2026Updated last month
- PSYCH 291: Causal Cognition (https://tobiasgerstenberg.github.io/causal_cognition/)☆13May 23, 2019Updated 7 years ago
- GPUs on demand by Runpod - Special Offer Available • AdRun AI, ML, and HPC workloads on powerful cloud GPUs—without limits or wasted spend. Deploy GPUs in under a minute and pay by the second.
- Interpretable and model-robust causal inference for heterogeneous treatment effects using generalized linear working models with targeted…☆27Apr 7, 2022Updated 4 years ago
- Official repository of the paper "Efficient Neural Causal Discovery without Acyclicity Constraints"☆91Mar 31, 2024Updated 2 years ago
- The companion code to the paper "Model-based Causal Bayesian Optimization"☆11Nov 16, 2022Updated 3 years ago
- ☆15Nov 23, 2023Updated 2 years ago
- EMNLP 2024 Tutorial: https://sites.google.com/view/reasoning-with-explanations☆15Apr 15, 2025Updated last year
- Code repository for study ''Evaluating the representational power of pre-trained DNA language models for regulatory genomics"☆25Jun 26, 2024Updated 2 years ago
- EigenPro2 iteration in Tensorflow (Keras)☆23Feb 21, 2019Updated 7 years ago
- ☆12Mar 28, 2022Updated 4 years ago
- Accompanying code for AAAI 2021 publication - High-Dimensional Bayesian Optimization via Tree-Structured Additive Models☆11Jun 19, 2024Updated 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.
- 🧮 Algebraic Positional Encodings.☆21Jun 5, 2026Updated last month
- GP Sinkhorn Implementation, paper: https://www.mdpi.com/1099-4300/23/9/1134☆23May 1, 2022Updated 4 years ago
- Quantifying and describing blood-oxygen-level dependent (BOLD) spatial propagation activity☆29Sep 6, 2023Updated 2 years ago
- Methods for heterogeneous treatment effect estimation☆24Mar 14, 2022Updated 4 years ago
- Exploring how tokenization shapes the performance and generalization of single-cell foundation models.☆20Apr 16, 2026Updated 3 months 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 3 years ago
- Quick start for IronCore's encrypted Elasticsearch proxy☆17May 14, 2026Updated 2 months ago