Causal inference is a critical task in various fields such as healthcare,economics, marketing and education. Recently, there have beensignificant advances through the application of machine learningtechniques, especially deep neural networks. Unfortunately, to-datemany of the proposed methods are evaluated on different (data,software/hardware, h…
☆22Oct 29, 2021Updated 4 years ago
Alternatives and similar repositories for CauseBox
Users that are interested in CauseBox 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 for Estimating Multi-cause Treatment Effects via Single-cause Perturbation (NeurIPS 2021)☆14Jan 5, 2022Updated 4 years ago
- ☆19Dec 13, 2024Updated last year
- ☆39Jul 30, 2023Updated 2 years ago
- Batched High-dimensional Bayesian Optimization via Structural Kernel Learning☆15Dec 30, 2018Updated 7 years ago
- Sklearn-style implementations of Neural Network-based Conditional Average Treatment Effect (CATE) Estimators.☆158Jun 22, 2024Updated 2 years ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- Mastodoner is a command line tool (and Python library) for archiving Mastodon, a decentralized micro-blogging social network.☆13Oct 21, 2024Updated last year
- ☆25Oct 20, 2025Updated 9 months ago
- An awesome collection of causality-inspired graph neural networks.☆105Nov 30, 2024Updated last year
- ☆30Aug 4, 2022Updated 3 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
- Code for the WSDM '20 paper, Learning Individual Causal Effects from Networked Observational Data.☆78Jul 8, 2021Updated 5 years ago
- Code for the paper "Optimal Off-Policy Evaluation from Multiple Logging Policies"☆15Jul 17, 2021Updated 5 years ago
- ☆12Jun 5, 2024Updated 2 years ago
- Overview of published generative models that produce molecules☆16Jan 16, 2020Updated 6 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.
- Code for NeurIPS 2020 paper: "Estimating the Effects of Continuous-valued Interventions using Generative Adversarial Networks" by I. Bica…☆30Jan 8, 2021Updated 5 years ago
- optimizing class activation maps by causal inference for weakly-supervised object localization task☆11May 5, 2022Updated 4 years ago
- Scalable and computationally efficient deep reinforcement learning framework for influence maximization☆13May 10, 2025Updated last year
- ☆13Nov 25, 2022Updated 3 years ago
- ☆11Mar 13, 2024Updated 2 years ago
- Baselines for CCKS 2022 Task "Product Knowledge Graph Alignment"☆31Feb 11, 2023Updated 3 years ago
- The source code of the paper "Understanding Graph Neural Networks from Graph Signal Denoising Perspectives"☆23Jun 9, 2020Updated 6 years ago
- Some notes and solutions to "Machine Learning" authored by Zhi-Hua Zhou☆11Jul 20, 2021Updated 5 years ago
- Pytorch Implementation of WSDM 2022 -- Graph Few-shot Class-incremental Learning☆24Apr 21, 2022Updated 4 years 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.
- ☆10Sep 19, 2023Updated 2 years ago
- Codebase for Hyperdecoders https://arxiv.org/abs/2203.08304☆14Oct 11, 2022Updated 3 years ago
- Code for the paper: Sparsely Changing Latent States for Prediction and Planning in Partially Observable Domains☆11Nov 12, 2021Updated 4 years ago
- Official code for ACT: Empowering Decision Transformer with Dynamic Programming via Advantage Conditioning (AAAI'24)☆17Feb 10, 2024Updated 2 years ago
- The implementation for "Comprehensive Knowledge Distillation with Causal Intervention".☆15Mar 12, 2022Updated 4 years ago
- Graph Convolutional Networks in PyTorch☆16Jul 22, 2020Updated 5 years ago
- Temporal and Causal Reasoning (dataset)☆10Apr 19, 2022Updated 4 years ago
- ☆16Jun 13, 2024Updated 2 years ago
- ☆13Feb 1, 2024Updated 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.
- Causality with machine learning, topic including causal represenation learning, causal reinforcement learning☆11Apr 19, 2021Updated 5 years ago
- ☆12Nov 1, 2019Updated 6 years ago
- ☆10Jul 8, 2021Updated 5 years ago
- [NeurIPS'20] Code for the paper "Offline Imitation Learning with a Misspecified Simulator"☆12Nov 24, 2021Updated 4 years ago
- PyTorch Implementation for "Eliciting Structural and Semantic Global Knowledge in Unsupervised Graph Contrastive Learning" (AAAI2023)☆25Feb 12, 2025Updated last year
- Official Implementation of SEA: Sparse Linear Attention with Estimated Attention Mask (ICLR 2024)☆12Jun 20, 2025Updated last year
- R tools for dataseries.org☆10Jun 13, 2026Updated last month