Causal Explanation (CXPlain) is a method for explaining the predictions of any machine-learning model.
β134Aug 22, 2020Updated 6 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:
- π€π€ Attentive Mixtures of Experts (AMEs) are neural network models that learn to output both accurate predictions and estimates of featuβ¦β42Mar 24, 2023Updated 3 years ago
- Souce code of "Inter-seasons and Inter-households Domain Adaptation Based on DANNs and Pseudo Labeling for Non-Intrusive Occupancy Detectβ¦β15Feb 5, 2025Updated last year
- β13Apr 23, 2019Updated 7 years ago
- β11Mar 25, 2022Updated 4 years ago
- Explanation Optimizationβ13Oct 16, 2020Updated 5 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer β’ AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- Code for the paper "Optimal Off-Policy Evaluation from Multiple Logging Policies"β15Jul 17, 2021Updated 5 years ago
- β26Dec 6, 2023Updated 2 years ago
- House Price Indexes in Rβ17Apr 9, 2025Updated last year
- Data repository for paper: Quantifying NFT-driven networks in crypto artβ13Jul 6, 2022Updated 4 years ago
- Code accompanying the paper on "An Empirical Investigation of Domain Generalization with Empirical Risk Minimizers" published at NeurIPS,β¦β17Jan 13, 2022Updated 4 years ago
- ππ Dose response networks (DRNets) are a method for learning to estimate individual dose-response curves for multiple parametric treatmβ¦β95Mar 24, 2023Updated 3 years ago
- GAM (Global Attribution Mapping) explains the landscape of neural network predictions across subpopulationsβ37Jan 23, 2026Updated 8 months ago
- Code for "Generative causal explanations of black-box classifiers"β36Jan 15, 2021Updated 5 years ago
- Code for our ICML '19 oral paper: Neural Network Attributions: A Causal Perspective.β51Nov 20, 2021Updated 4 years ago
- Wordpress hosting with auto-scaling - Free Trial Offer β’ AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- This is a benchmark to evaluate machine learning local explanaitons quality generated from any explainer for text and image dataβ30May 24, 2021Updated 5 years ago
- Code for Quantifying Ignorance in Individual-Level Causal-Effect Estimates under Hidden Confoundingβ25Dec 6, 2022Updated 3 years ago
- The COVID-19 Early Warning System (CovEWS) is a real-time early warning system for assessing individual COVID-19 related mortality risk.β17Apr 25, 2021Updated 5 years ago
- A lightweight implementation of removal-based explanations for ML models.β59Jul 19, 2021Updated 5 years ago
- Heterogeneous effects analysis of conjoint experiments using BARTβ10Sep 6, 2023Updated 3 years ago
- Code for the ICML 2021 paper "Sharing Less is More: Lifelong Learning in Deep Networks with Selective Layer Transfer"β12Aug 17, 2021Updated 5 years ago
- A tensorflow implementation of the neural variational topic,document model with Gaussian Softmax Construction (GSM).β21Jun 22, 2019Updated 7 years ago
- Computational aestheticsβ24Nov 20, 2021Updated 4 years ago
- A every-so-often-updated collection of every causality + machine learning paper submitted to arXiv in the recent past.β415Sep 10, 2020Updated 6 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer β’ AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- β99Mar 5, 2023Updated 3 years ago
- An Empirical Study of Invariant Risk Minimizationβ27Jul 6, 2020Updated 6 years ago
- Graph matching and clustering by comparing heat kernels via optimal transport.β26Dec 8, 2022Updated 3 years ago
- "Oblique Decision Trees from Derivatives of ReLU Networks" (ICLR 2020, previously called "Locally Constant Networks")β21Apr 27, 2021Updated 5 years ago
- Code for the paper: It is Okay to Not Be Okay: Overcoming Emotional Bias in Affective Image Captioning by Contrastive Data Collectionβ30Nov 27, 2022Updated 3 years ago
- β25Oct 12, 2021Updated 4 years ago
- Variational Auto-Encoder Matrix Factorisationβ17May 2, 2017Updated 9 years ago
- Code for ICML 2021 paper "Regularizing towards Causal Invariance: Linear Models with Proxies" (ICML 2021)β11Mar 14, 2022Updated 4 years ago
- Official code for the ICML 2021 paper "Generative Causal Explanations for Graph Neural Networks."β65Apr 7, 2022Updated 4 years ago
- GPU virtual machines on DigitalOcean Gradient AI β’ AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- β32Oct 13, 2021Updated 4 years ago
- Implementation of "Fast and Flexible Temporal Point Processes with Triangular Maps" (Oral @ NeurIPS 2020)β22Dec 1, 2023Updated 2 years ago
- β12Aug 16, 2022Updated 4 years ago
- ιζΊζεε€θ―ζθ―θ―δ½δΈΊgitηcommit msgβ11Jan 16, 2017Updated 9 years ago
- For calculating Shapley values via linear regression.β74Jun 6, 2021Updated 5 years ago
- Tensorflow implementation of Invariant Rationalizationβ50Feb 16, 2023Updated 3 years ago
- Code for Contextual Autocomplete paper published in MLHC2020β12Aug 7, 2021Updated 5 years ago