microsoft / reliableAI
☆42Updated last week
Alternatives and similar repositories for reliableAI:
Users that are interested in reliableAI are comparing it to the libraries listed below
- Interpretable and efficient predictors using pre-trained language models. Scikit-learn compatible.☆39Updated 10 months ago
- Causal Effect Inference for Structured Treatments (SIN) (NeurIPS 2021)☆42Updated 2 years ago
- ☆33Updated 2 years ago
- ☆64Updated last year
- Data and code for the Corr2Cause paper (ICLR 2024)☆93Updated 10 months ago
- Generating and validating natural-language explanations.☆47Updated this week
- Influence Estimation for Gradient-Boosted Decision Trees☆26Updated 8 months ago
- Experiments to reproduce results in Interventional Causal Representation Learning.☆25Updated 2 years ago
- Testing Language Models for Memorization of Tabular Datasets.☆33Updated last week
- For calculating Shapley values via linear regression.☆67Updated 3 years ago
- The code of AAAI 2020 paper "Transparent Classification with Multilayer Logical Perceptrons and Random Binarization".☆23Updated 11 months ago
- Official implementation of the paper "Interventions, Where and How? Experimental Design for Causal Models at Scale", NeurIPS 2022.☆19Updated 2 years ago
- ☆24Updated 9 months ago
- XAI-Bench is a library for benchmarking feature attribution explainability techniques☆62Updated 2 years ago
- Repository for Multimodal AutoML Benchmark☆64Updated 3 years ago
- Realistic benchmark for different causal inference methods. The realism comes from fitting generative models to data with an assumed caus…☆71Updated 3 years ago
- Solving the causality pairs challenge (does A cause B) with ChatGPT☆76Updated 8 months ago
- [Experimental] Global causal discovery algorithms☆97Updated last week
- The TABLET benchmark for evaluating instruction learning with LLMs for tabular prediction.☆20Updated last year
- Implementations of methods proposed in the paper "Conformal Prediction Sets for Graph Neural Networks"☆13Updated last year
- CSuite: A Suite of Benchmark Datasets for Causality☆64Updated last year
- Code for Language-Interfaced FineTuning for Non-Language Machine Learning Tasks.☆122Updated 3 months ago
- Model zoo for different kinds of uncertainty quantification methods used in Natural Language Processing, implemented in PyTorch.☆51Updated last year
- This is the official codebase of `Exploring Generative Neural Temporal Point Process' (Accepted by TMLR).☆19Updated last year
- ☆11Updated last year
- Experimental library integrating LLM capabilities to support causal analyses☆106Updated 5 months ago
- Foundation Models for Data Tasks☆102Updated last year
- Uses several statistical tests / algorithms on marginal / conditional distributions☆8Updated last year
- Multiple Generalized Additive Models implemented in Python (EBM, XGB, Spline, FLAM). Code for our KDD 2021 paper "How Interpretable and T…☆12Updated 3 years ago
- [SDM'23] ML4C: Seeing Causality Through Latent Vicinity☆12Updated 2 years ago