seedatnabeel / Data-SUITELinks
Data-SUITE: Data-centric identification of in-distribution incongruous examples (ICML 2022)
☆9Updated 2 years ago
Alternatives and similar repositories for Data-SUITE
Users that are interested in Data-SUITE are comparing it to the libraries listed below
Sorting:
- A repo for transfer learning with deep tabular models☆104Updated 2 years ago
- Model-agnostic posthoc calibration without distributional assumptions☆42Updated last year
- Conformal prediction for controlling monotonic risk functions. Simple accompanying PyTorch code for conformal risk control in computer vi…☆67Updated 2 years ago
- Resources for Machine Learning Explainability☆80Updated 10 months ago
- A practical Active Learning python package with a strong focus on experiments.☆51Updated 2 years ago
- Inference code for "TabDPT: Scaling Tabular Foundation Models on Real Data"☆52Updated this week
- trying to obtain uncertainties from training accuracies using timm☆9Updated 3 years ago
- Data Augmentation with Variational Autoencoders (TPAMI)☆141Updated 2 years ago
- Training and evaluating NBM and SPAM for interpretable machine learning.☆78Updated 2 years ago
- PyTorch reimplementation of computing Shapley values via Truncated Monte Carlo sampling from "What is your data worth? Equitable Valuatio…☆27Updated 3 years ago
- AutoML Two-Sample Test☆20Updated 2 years ago
- Code repository for our paper "Failing Loudly: An Empirical Study of Methods for Detecting Dataset Shift": https://arxiv.org/abs/1810.119…☆105Updated last year
- TorchEsegeta: Interpretability and Explainability pipeline for PyTorch☆20Updated last year
- A Python package for unwrapping ReLU DNNs☆70Updated last year
- A Natural Language Interface to Explainable Boosting Machines☆67Updated last year
- ☆23Updated 2 weeks ago
- Code and experiments for "Deep Neural Networks for Rank Consistent Ordinal Regression based on Conditional Probabilities"☆26Updated 3 years ago
- Multi-class probabilistic classification using inductive and cross Venn–Abers predictors☆48Updated 3 years ago
- CEML - Counterfactuals for Explaining Machine Learning models - A Python toolbox☆44Updated last month
- Measuring data importance over ML pipelines using the Shapley value.☆43Updated 2 months ago
- For calculating Shapley values via linear regression.☆68Updated 4 years ago
- Neural Additive Models (Google Research)☆71Updated 3 years ago
- Interesting resources related to Explainable Artificial Intelligence, Interpretable Machine Learning, Interactive Machine Learning, Human…☆73Updated 2 years ago
- This is the repository for the CONFLARE (CONformal LArge language model REtrieval) Python package.☆19Updated last year
- Calibration library and code for the paper: Verified Uncertainty Calibration. Ananya Kumar, Percy Liang, Tengyu Ma. NeurIPS 2019 (Spotlig…☆150Updated 2 years ago
- An amortized approach for calculating local Shapley value explanations☆99Updated last year
- Revisiting Pretrarining Objectives for Tabular Deep Learning☆63Updated 2 years ago
- XAI-Bench is a library for benchmarking feature attribution explainability techniques☆69Updated 2 years ago
- A package for conformal prediction with conditional guarantees.☆61Updated 4 months ago
- NumPy library for calibration metrics☆73Updated 4 months ago