Causal Explanation (CXPlain) is a method for explaining the predictions of any machine-learning model.
☆132Aug 22, 2020Updated 5 years ago
Alternatives and similar repositories for cxplain
Users that are interested in cxplain are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Souce code of "Inter-seasons and Inter-households Domain Adaptation Based on DANNs and Pseudo Labeling for Non-Intrusive Occupancy Detect…☆14Feb 5, 2025Updated last year
- 🤖🤖 Attentive Mixtures of Experts (AMEs) are neural network models that learn to output both accurate predictions and estimates of featu…☆42Mar 24, 2023Updated 3 years ago
- neural_topic_models☆11Jan 9, 2017Updated 9 years ago
- ☆13Apr 23, 2019Updated 6 years ago
- ☆11Mar 25, 2022Updated 4 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.
- Explanation Optimization☆13Oct 16, 2020Updated 5 years ago
- Code for the paper "Optimal Off-Policy Evaluation from Multiple Logging Policies"☆15Jul 17, 2021Updated 4 years ago
- Code accompanying the paper on "An Empirical Investigation of Domain Generalization with Empirical Risk Minimizers" published at NeurIPS,…☆18Jan 13, 2022Updated 4 years ago
- 💉📈 Dose response networks (DRNets) are a method for learning to estimate individual dose-response curves for multiple parametric treatm…☆95Mar 24, 2023Updated 3 years ago
- Art evaluation analytics☆21Dec 12, 2014Updated 11 years ago
- Feature selection for deep learning models.☆14Jan 9, 2021Updated 5 years ago
- The holdout randomization test: feature selection using black box predictive models☆22Mar 19, 2021Updated 5 years ago
- This is the code of our work CISS Certified Robustness Against Natural Language Attacks by Causal Intervention published on ICML 2022☆11Dec 6, 2022Updated 3 years ago
- Towards Efficient Shapley Value Estimation via Cross-contribution Maximization☆14Jul 8, 2022Updated 3 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.
- GAM (Global Attribution Mapping) explains the landscape of neural network predictions across subpopulations☆35Jan 23, 2026Updated 2 months ago
- Source Code for my blog post: Data mining Meebits NFTs using Python and OpenSea API☆30Jul 11, 2021Updated 4 years ago
- This is a benchmark to evaluate machine learning local explanaitons quality generated from any explainer for text and image data☆30May 24, 2021Updated 4 years ago
- Code for our ICML '19 oral paper: Neural Network Attributions: A Causal Perspective.☆51Nov 20, 2021Updated 4 years ago
- Code for Quantifying Ignorance in Individual-Level Causal-Effect Estimates under Hidden Confounding☆24Dec 6, 2022Updated 3 years ago
- PyTorch implementation of 'Vanilla' Gradient, Grad-CAM, Guided backprop, Integrated Gradients and their SmoothGrad variants.☆20Feb 15, 2026Updated last month
- The COVID-19 Early Warning System (CovEWS) is a real-time early warning system for assessing individual COVID-19 related mortality risk.☆17Apr 25, 2021Updated 4 years ago
- A lightweight implementation of removal-based explanations for ML models.☆59Jul 19, 2021Updated 4 years ago
- Code for the ICML 2021 paper "Sharing Less is More: Lifelong Learning in Deep Networks with Selective Layer Transfer"☆12Aug 17, 2021Updated 4 years ago
- Wordpress hosting with auto-scaling - Free Trial • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- A toolbox for brain network modeling on GPUs☆20Mar 25, 2026Updated 2 weeks ago
- Logging of Spotify friend activity. Serving as a substitute for missing Web API functionality.☆25Mar 20, 2021Updated 5 years ago
- A every-so-often-updated collection of every causality + machine learning paper submitted to arXiv in the recent past.☆413Sep 10, 2020Updated 5 years ago
- ☆18May 27, 2021Updated 4 years ago
- ☆99Mar 5, 2023Updated 3 years ago
- "Oblique Decision Trees from Derivatives of ReLU Networks" (ICLR 2020, previously called "Locally Constant Networks")☆21Apr 27, 2021Updated 4 years ago
- ☆32Oct 13, 2021Updated 4 years ago
- ☆25Oct 12, 2021Updated 4 years ago
- Code for ICML 2021 paper "Regularizing towards Causal Invariance: Linear Models with Proxies" (ICML 2021)☆11Mar 14, 2022Updated 4 years ago
- Wordpress hosting with auto-scaling - Free Trial • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- Implementation of "Fast and Flexible Temporal Point Processes with Triangular Maps" (Oral @ NeurIPS 2020)☆23Dec 1, 2023Updated 2 years ago
- ☆12Aug 16, 2022Updated 3 years ago
- Molecular Explanation Generator☆17Jan 26, 2022Updated 4 years ago
- For calculating Shapley values via linear regression.☆73Jun 6, 2021Updated 4 years ago
- Package for causal inference in graphs and in the pairwise settings. Tools for graph structure recovery and dependencies are included.☆1,228Oct 13, 2025Updated 6 months ago
- Source code for Noise-Contrastive Estimation for Multivariate Point Processes (NeurIPS 2020).☆15Nov 3, 2020Updated 5 years ago
- Open-source code for ''Individual Fairness for Graph Neural Networks: A Ranking based Approach''.☆11Jul 8, 2022Updated 3 years ago